Re: [RESULT] [VOTE] Superset Proposal for Apache Incubator

[James Mayfield]

Congrats team!

On Tue, May 2, 2017 at 9:54 AM, Jeff Feng  wrote:

> The vote for Superset passes with 11 +1 binding votes, 3 +1 non-binding
> votes and no -1 votes.  Below are the overall results:
>
> *Binding:*
> Ashutosh Chauhan +1
> Luke Han + 1
> Julian Hyde +1
> Jitendra Pandey +1
> Joe Witt +1
> Ted Dunning +1
> P. Taylor Goetz +1
> Edward Yoon +1
> Jacques Nadeau +1
> Julian Le Dem +1
> Jim Jagielski +1
>
> *Non-Binding:*
> Moon Soo Lee +1
> Naresh Agarwal +1
> Felix Cheng +1
>
> Thank you to everyone who participated in the vote.
>
> Please welcome Superset to the Apache Incubator!
>
> Jeff
>
>
>
> On Sun, Apr 23, 2017 at 7:53 AM, Jeff Feng  wrote:
>
>> Dear Apache Incubator Community,
>>
>> We have updated the Superset proposal
>>  (copied below) for
>> Apache Incubation with an additional mentor (Luke Han -
>> luke@apache.org), and would like to start a vote thread for
>> acceptance into the incubator.
>>
>> Our team is excited to share Superset with the Apache community and we
>> hope for the your continued support!
>>
>> Cheers,
>> Jeff & the Superset Team
>>
>>
>>
>>
>> = Superset =
>>
>> == Abstract ==
>> Superset is an enterprise-ready web application for data exploration,
>> data visualization and dashboarding.
>>
>> == Proposal ==
>> Superset is business intelligence (BI) software that helps modern
>> organizations visualize and interact with their data. Superset enables
>> users explore data from a variety of databases, assemble beautiful
>> dashboards and share their findings.  Superset works neatly with all modern
>> SQL-speaking databases, and integrates with Druid.io to provide real-time,
>> interactive, blazing fast data access to large datasets.
>>
>> == Background ==
>> Data is mission critical. To succeed in this era, organizations need to
>> provide low-friction, intuitive and interactive access to data. It is
>> paramount for knowledge workers to be capable of answering their own
>> questions by querying, exploring and visualizing data.
>>
>> The entire business intelligence industry has pivoted from a model of
>> centralized top-down platforms driven by IT organizations to self-service
>> analytics and agile workflows by any user.  This shift unblocks centralized
>> service bottlenecks for creating data visualizations while also creating an
>> environment that is iterative and fast-moving.  This means that business
>> intelligence software must also be easy and delightful to use.
>> Self-service analytics doesn’t mean that admin and governance features are
>> not needed.
>> Modern BI tools provide fine-grain access controls and auditing
>> capabilities to understand how data is being used.  Superset is a solution
>> that delivers on all of these vectors.
>>
>> The technology stack is also constantly morphing - vendors are struggling
>> to provide cheap, quick and easy solutions to access data.  Business
>> intelligence users are finding existing solutions lacking as these software
>> products either disregard or react slowly to recent game-changing
>> technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
>> React.js and iPython’s Jupyter for instance.
>>
>> == Rationale ==
>> Business intelligence is more relevant today than at any other point in
>> history.  Organizations are currently very limited in options for open
>> source data visualization solutions, especially solutions that are both
>> self-service and enterprise-ready.  Every company informing their decisions
>> with data needs a BI tool.
>>
>> We believe that Superset will be a strong compliment to existing Apache
>> Software Foundation technologies by offering scalable user interactions to
>> distributed storage and computation solutions.  Users will often find that
>> Superset can act as a catalyst for tooling that can visualize the byproduct
>> of data and computation infrastructure.
>>
>> Superset has many key design elements that help fill a gap in current
>> solutions for organizations:
>>  * Easy, low friction access to data through a simple, web-based data
>> exploration interface.  Composing charts and dashboards are intuitive.
>> Eliminating the need to write code or SQL empowers anyone to use it.
>>  * Access to a wide array of rich, interactive data visualization types.
>>  * Enterprise-ready: Integration with different authentication mechanisms
>> and granular permissions centered around actions and data access.
>>  * Realtime & fast: Superset provides realtime analytics at the speed of
>> thought on very large datasets when integrated with Druid.io.
>>  * Broad data access: Consume data out of any SQL-speaking relational
>> database.
>>  * Extensible: Can be extended to talk to many noSQL databases like
>> Apache Drill, Elastic Search, and other popular database engines.
>>  * Fast loading dashboards with configurable web-scale caching.
>>  * Plug-in framework that enables 

Re: [RESULT] [VOTE] Superset Proposal for Apache Incubator

[Jim Jagielski]

I still offer to help mentor is desired.

> On May 2, 2017, at 12:54 PM, Jeff Feng  wrote:
> 
> The vote for Superset passes with 11 +1 binding votes, 3 +1 non-binding
> votes and no -1 votes.  Below are the overall results:
> 
> *Binding:*
> Ashutosh Chauhan +1
> Luke Han + 1
> Julian Hyde +1
> Jitendra Pandey +1
> Joe Witt +1
> Ted Dunning +1
> P. Taylor Goetz +1
> Edward Yoon +1
> Jacques Nadeau +1
> Julian Le Dem +1
> Jim Jagielski +1
> 
> *Non-Binding:*
> Moon Soo Lee +1
> Naresh Agarwal +1
> Felix Cheng +1
> 
> Thank you to everyone who participated in the vote.
> 
> Please welcome Superset to the Apache Incubator!
> 
> Jeff
> 
> 
> 
> On Sun, Apr 23, 2017 at 7:53 AM, Jeff Feng  wrote:
> 
>> Dear Apache Incubator Community,
>> 
>> We have updated the Superset proposal
>>  (copied below) for
>> Apache Incubation with an additional mentor (Luke Han -
>> luke@apache.org), and would like to start a vote thread for
>> acceptance into the incubator.
>> 
>> Our team is excited to share Superset with the Apache community and we
>> hope for the your continued support!
>> 
>> Cheers,
>> Jeff & the Superset Team
>> 
>> 
>> 
>> 
>> = Superset =
>> 
>> == Abstract ==
>> Superset is an enterprise-ready web application for data exploration, data
>> visualization and dashboarding.
>> 
>> == Proposal ==
>> Superset is business intelligence (BI) software that helps modern
>> organizations visualize and interact with their data. Superset enables
>> users explore data from a variety of databases, assemble beautiful
>> dashboards and share their findings.  Superset works neatly with all modern
>> SQL-speaking databases, and integrates with Druid.io to provide real-time,
>> interactive, blazing fast data access to large datasets.
>> 
>> == Background ==
>> Data is mission critical. To succeed in this era, organizations need to
>> provide low-friction, intuitive and interactive access to data. It is
>> paramount for knowledge workers to be capable of answering their own
>> questions by querying, exploring and visualizing data.
>> 
>> The entire business intelligence industry has pivoted from a model of
>> centralized top-down platforms driven by IT organizations to self-service
>> analytics and agile workflows by any user.  This shift unblocks centralized
>> service bottlenecks for creating data visualizations while also creating an
>> environment that is iterative and fast-moving.  This means that business
>> intelligence software must also be easy and delightful to use.
>> Self-service analytics doesn’t mean that admin and governance features are
>> not needed.
>> Modern BI tools provide fine-grain access controls and auditing
>> capabilities to understand how data is being used.  Superset is a solution
>> that delivers on all of these vectors.
>> 
>> The technology stack is also constantly morphing - vendors are struggling
>> to provide cheap, quick and easy solutions to access data.  Business
>> intelligence users are finding existing solutions lacking as these software
>> products either disregard or react slowly to recent game-changing
>> technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
>> React.js and iPython’s Jupyter for instance.
>> 
>> == Rationale ==
>> Business intelligence is more relevant today than at any other point in
>> history.  Organizations are currently very limited in options for open
>> source data visualization solutions, especially solutions that are both
>> self-service and enterprise-ready.  Every company informing their decisions
>> with data needs a BI tool.
>> 
>> We believe that Superset will be a strong compliment to existing Apache
>> Software Foundation technologies by offering scalable user interactions to
>> distributed storage and computation solutions.  Users will often find that
>> Superset can act as a catalyst for tooling that can visualize the byproduct
>> of data and computation infrastructure.
>> 
>> Superset has many key design elements that help fill a gap in current
>> solutions for organizations:
>> * Easy, low friction access to data through a simple, web-based data
>> exploration interface.  Composing charts and dashboards are intuitive.
>> Eliminating the need to write code or SQL empowers anyone to use it.
>> * Access to a wide array of rich, interactive data visualization types.
>> * Enterprise-ready: Integration with different authentication mechanisms
>> and granular permissions centered around actions and data access.
>> * Realtime & fast: Superset provides realtime analytics at the speed of
>> thought on very large datasets when integrated with Druid.io.
>> * Broad data access: Consume data out of any SQL-speaking relational
>> database.
>> * Extensible: Can be extended to talk to many noSQL databases like Apache
>> Drill, Elastic Search, and other popular database engines.
>> * Fast loading dashboards with configurable web-scale caching.
>> * 

Re: [RESULT] [VOTE] Superset Proposal for Apache Incubator

[Pierre Smits]

Congratulations and good luck to the team incubating.

Best regards,

Pierre Smits

ORRTIZ.COM 
OFBiz based solutions & services

OFBiz Extensions Marketplace
http://oem.ofbizci.net/oci-2/

On Tue, May 2, 2017 at 6:54 PM, Jeff Feng  wrote:

> The vote for Superset passes with 11 +1 binding votes, 3 +1 non-binding
> votes and no -1 votes.  Below are the overall results:
>
> *Binding:*
> Ashutosh Chauhan +1
> Luke Han + 1
> Julian Hyde +1
> Jitendra Pandey +1
> Joe Witt +1
> Ted Dunning +1
> P. Taylor Goetz +1
> Edward Yoon +1
> Jacques Nadeau +1
> Julian Le Dem +1
> Jim Jagielski +1
>
> *Non-Binding:*
> Moon Soo Lee +1
> Naresh Agarwal +1
> Felix Cheng +1
>
> Thank you to everyone who participated in the vote.
>
> Please welcome Superset to the Apache Incubator!
>
> Jeff
>
>
>
> On Sun, Apr 23, 2017 at 7:53 AM, Jeff Feng  wrote:
>
> > Dear Apache Incubator Community,
> >
> > We have updated the Superset proposal
> >  (copied below) for
> > Apache Incubation with an additional mentor (Luke Han -
> > luke@apache.org), and would like to start a vote thread for
> > acceptance into the incubator.
> >
> > Our team is excited to share Superset with the Apache community and we
> > hope for the your continued support!
> >
> > Cheers,
> > Jeff & the Superset Team
> >
> >
> >
> >
> > = Superset =
> >
> > == Abstract ==
> > Superset is an enterprise-ready web application for data exploration,
> data
> > visualization and dashboarding.
> >
> > == Proposal ==
> > Superset is business intelligence (BI) software that helps modern
> > organizations visualize and interact with their data. Superset enables
> > users explore data from a variety of databases, assemble beautiful
> > dashboards and share their findings.  Superset works neatly with all
> modern
> > SQL-speaking databases, and integrates with Druid.io to provide
> real-time,
> > interactive, blazing fast data access to large datasets.
> >
> > == Background ==
> > Data is mission critical. To succeed in this era, organizations need to
> > provide low-friction, intuitive and interactive access to data. It is
> > paramount for knowledge workers to be capable of answering their own
> > questions by querying, exploring and visualizing data.
> >
> > The entire business intelligence industry has pivoted from a model of
> > centralized top-down platforms driven by IT organizations to self-service
> > analytics and agile workflows by any user.  This shift unblocks
> centralized
> > service bottlenecks for creating data visualizations while also creating
> an
> > environment that is iterative and fast-moving.  This means that business
> > intelligence software must also be easy and delightful to use.
> > Self-service analytics doesn’t mean that admin and governance features
> are
> > not needed.
> > Modern BI tools provide fine-grain access controls and auditing
> > capabilities to understand how data is being used.  Superset is a
> solution
> > that delivers on all of these vectors.
> >
> > The technology stack is also constantly morphing - vendors are struggling
> > to provide cheap, quick and easy solutions to access data.  Business
> > intelligence users are finding existing solutions lacking as these
> software
> > products either disregard or react slowly to recent game-changing
> > technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
> > React.js and iPython’s Jupyter for instance.
> >
> > == Rationale ==
> > Business intelligence is more relevant today than at any other point in
> > history.  Organizations are currently very limited in options for open
> > source data visualization solutions, especially solutions that are both
> > self-service and enterprise-ready.  Every company informing their
> decisions
> > with data needs a BI tool.
> >
> > We believe that Superset will be a strong compliment to existing Apache
> > Software Foundation technologies by offering scalable user interactions
> to
> > distributed storage and computation solutions.  Users will often find
> that
> > Superset can act as a catalyst for tooling that can visualize the
> byproduct
> > of data and computation infrastructure.
> >
> > Superset has many key design elements that help fill a gap in current
> > solutions for organizations:
> >  * Easy, low friction access to data through a simple, web-based data
> > exploration interface.  Composing charts and dashboards are intuitive.
> > Eliminating the need to write code or SQL empowers anyone to use it.
> >  * Access to a wide array of rich, interactive data visualization types.
> >  * Enterprise-ready: Integration with different authentication mechanisms
> > and granular permissions centered around actions and data access.
> >  * Realtime & fast: Superset provides realtime analytics at the speed of
> > thought on very large datasets when integrated with Druid.io.
> >  * Broad data access: Consume data out 

[RESULT] [VOTE] Superset Proposal for Apache Incubator

[Jeff Feng]

The vote for Superset passes with 11 +1 binding votes, 3 +1 non-binding
votes and no -1 votes.  Below are the overall results:

*Binding:*
Ashutosh Chauhan +1
Luke Han + 1
Julian Hyde +1
Jitendra Pandey +1
Joe Witt +1
Ted Dunning +1
P. Taylor Goetz +1
Edward Yoon +1
Jacques Nadeau +1
Julian Le Dem +1
Jim Jagielski +1

*Non-Binding:*
Moon Soo Lee +1
Naresh Agarwal +1
Felix Cheng +1

Thank you to everyone who participated in the vote.

Please welcome Superset to the Apache Incubator!

Jeff



On Sun, Apr 23, 2017 at 7:53 AM, Jeff Feng  wrote:

> Dear Apache Incubator Community,
>
> We have updated the Superset proposal
>  (copied below) for
> Apache Incubation with an additional mentor (Luke Han -
> luke@apache.org), and would like to start a vote thread for
> acceptance into the incubator.
>
> Our team is excited to share Superset with the Apache community and we
> hope for the your continued support!
>
> Cheers,
> Jeff & the Superset Team
>
>
>
>
> = Superset =
>
> == Abstract ==
> Superset is an enterprise-ready web application for data exploration, data
> visualization and dashboarding.
>
> == Proposal ==
> Superset is business intelligence (BI) software that helps modern
> organizations visualize and interact with their data. Superset enables
> users explore data from a variety of databases, assemble beautiful
> dashboards and share their findings.  Superset works neatly with all modern
> SQL-speaking databases, and integrates with Druid.io to provide real-time,
> interactive, blazing fast data access to large datasets.
>
> == Background ==
> Data is mission critical. To succeed in this era, organizations need to
> provide low-friction, intuitive and interactive access to data. It is
> paramount for knowledge workers to be capable of answering their own
> questions by querying, exploring and visualizing data.
>
> The entire business intelligence industry has pivoted from a model of
> centralized top-down platforms driven by IT organizations to self-service
> analytics and agile workflows by any user.  This shift unblocks centralized
> service bottlenecks for creating data visualizations while also creating an
> environment that is iterative and fast-moving.  This means that business
> intelligence software must also be easy and delightful to use.
> Self-service analytics doesn’t mean that admin and governance features are
> not needed.
> Modern BI tools provide fine-grain access controls and auditing
> capabilities to understand how data is being used.  Superset is a solution
> that delivers on all of these vectors.
>
> The technology stack is also constantly morphing - vendors are struggling
> to provide cheap, quick and easy solutions to access data.  Business
> intelligence users are finding existing solutions lacking as these software
> products either disregard or react slowly to recent game-changing
> technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
> React.js and iPython’s Jupyter for instance.
>
> == Rationale ==
> Business intelligence is more relevant today than at any other point in
> history.  Organizations are currently very limited in options for open
> source data visualization solutions, especially solutions that are both
> self-service and enterprise-ready.  Every company informing their decisions
> with data needs a BI tool.
>
> We believe that Superset will be a strong compliment to existing Apache
> Software Foundation technologies by offering scalable user interactions to
> distributed storage and computation solutions.  Users will often find that
> Superset can act as a catalyst for tooling that can visualize the byproduct
> of data and computation infrastructure.
>
> Superset has many key design elements that help fill a gap in current
> solutions for organizations:
>  * Easy, low friction access to data through a simple, web-based data
> exploration interface.  Composing charts and dashboards are intuitive.
> Eliminating the need to write code or SQL empowers anyone to use it.
>  * Access to a wide array of rich, interactive data visualization types.
>  * Enterprise-ready: Integration with different authentication mechanisms
> and granular permissions centered around actions and data access.
>  * Realtime & fast: Superset provides realtime analytics at the speed of
> thought on very large datasets when integrated with Druid.io.
>  * Broad data access: Consume data out of any SQL-speaking relational
> database.
>  * Extensible: Can be extended to talk to many noSQL databases like Apache
> Drill, Elastic Search, and other popular database engines.
>  * Fast loading dashboards with configurable web-scale caching.
>  * Plug-in framework that enables organizations to build custom analytical
> applications with new UI/UX interfaces.
>  * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking users
> with more flexibility.  SQL Lab integrates with the visualization engine
> 

Re: [VOTE] Superset Proposal for Apache Incubator

[Jim Jagielski]

+1 (binding)

And an offer to mentor if you would like/want another.

> On Apr 27, 2017, at 1:02 PM, Felix Cheung  wrote:
> 
> +1 (nonbinding)
> 
> On Wed, Apr 26, 2017 at 11:13 PM Jeff Feng  wrote:
> 
>> Hello everyone,
>> 
>> Thank you for checking out our proposal on Superset and for your
>> consideration for the Apache Incubator.  So far, I believe we have 8
>> binding votes and 2 non-binding votes.
>> 
>> As Taylor mentioned earlier, we made a minor update to the wording in the
>> "Source and Intellectual Property Submission Plan" section based on a
>> suggestion by John Ament.  The update was to help confirm the previously
>> unstated assumption that we will submit an SGA.  I have copied the updated
>> proposal from the wiki to the email below and highlighted (in yellow) the
>> new sentence below in the document.
>> 
>> Folks on the cc line who have already voted, please let us know if the
>> change impacts your vote.
>> 
>> Thank you all,
>> Jeff
>> 
>> 
>> 
>> = Superset =
>> 
>> == Abstract ==
>> Superset is an enterprise-ready web application for data exploration, data
>> visualization and dashboarding.
>> 
>> == Proposal ==
>> Superset is business intelligence (BI) software that helps modern
>> organizations visualize and interact with their data. Superset enables
>> users explore data from a variety of databases, assemble beautiful
>> dashboards and share their findings.  Superset works neatly with all modern
>> SQL-speaking databases, and integrates with Druid.io to provide real-time,
>> interactive, blazing fast data access to large datasets.
>> 
>> == Background ==
>> Data is mission critical. To succeed in this era, organizations need to
>> provide low-friction, intuitive and interactive access to data. It is
>> paramount for knowledge workers to be capable of answering their own
>> questions by querying, exploring and visualizing data.
>> 
>> The entire business intelligence industry has pivoted from a model of
>> centralized top-down platforms driven by IT organizations to self-service
>> analytics and agile workflows by any user.  This shift unblocks centralized
>> service bottlenecks for creating data visualizations while also creating an
>> environment that is iterative and fast-moving.  This means that business
>> intelligence software must also be easy and delightful to use.
>> Self-service analytics doesn’t mean that admin and governance features are
>> not needed.
>> Modern BI tools provide fine-grain access controls and auditing
>> capabilities to understand how data is being used.  Superset is a solution
>> that delivers on all of these vectors.
>> 
>> The technology stack is also constantly morphing - vendors are struggling
>> to provide cheap, quick and easy solutions to access data.  Business
>> intelligence users are finding existing solutions lacking as these software
>> products either disregard or react slowly to recent game-changing
>> technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
>> React.js and iPython’s Jupyter for instance.
>> 
>> == Rationale ==
>> Business intelligence is more relevant today than at any other point in
>> history.  Organizations are currently very limited in options for open
>> source data visualization solutions, especially solutions that are both
>> self-service and enterprise-ready.  Every company informing their decisions
>> with data needs a BI tool.
>> 
>> We believe that Superset will be a strong compliment to existing Apache
>> Software Foundation technologies by offering scalable user interactions to
>> distributed storage and computation solutions.  Users will often find that
>> Superset can act as a catalyst for tooling that can visualize the byproduct
>> of data and computation infrastructure.
>> 
>> Superset has many key design elements that help fill a gap in current
>> solutions for organizations:
>> * Easy, low friction access to data through a simple, web-based data
>> exploration interface.  Composing charts and dashboards are intuitive.
>> Eliminating the need to write code or SQL empowers anyone to use it.
>> * Access to a wide array of rich, interactive data visualization types.
>> * Enterprise-ready: Integration with different authentication mechanisms
>> and granular permissions centered around actions and data access.
>> * Realtime & fast: Superset provides realtime analytics at the speed of
>> thought on very large datasets when integrated with Druid.io.
>> * Broad data access: Consume data out of any SQL-speaking relational
>> database.
>> * Extensible: Can be extended to talk to many noSQL databases like Apache
>> Drill, Elastic Search, and other popular database engines.
>> * Fast loading dashboards with configurable web-scale caching.
>> * Plug-in framework that enables organizations to build custom analytical
>> applications with new UI/UX interfaces.
>> * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking users
>> with more flexibility. 

Re: [VOTE] Superset Proposal for Apache Incubator

[Julien Le Dem]

+1 (binding)

On Thu, Apr 27, 2017 at 3:08 PM, Jacques Nadeau  wrote:

> +1 binding
>
> On Apr 27, 2017 1:35 PM, "Jitendra Pandey" 
> wrote:
>
> > Re-affirming. +1 (binding)
> >
> > On 4/27/17, 1:24 PM, "Ashutosh Chauhan" 
> > wrote:
> >
> > Re-affirming my vote as well:
> >
> > +1 (binding)
> >
> > On Thu, Apr 27, 2017 at 10:45 AM, Julian Hyde 
> > wrote:
> >
> > > Re-affriming my vote:
> > >
> > > +1 (binding)
> > >
> > > > On Apr 26, 2017, at 11:12 PM, Jeff Feng 
> > wrote:
> > > >
> > > > Hello everyone,
> > > >
> > > > Thank you for checking out our proposal on Superset and for your
> > > > consideration for the Apache Incubator.  So far, I believe we
> have
> > 8
> > > > binding votes and 2 non-binding votes.
> > > >
> > > > As Taylor mentioned earlier, we made a minor update to the
> wording
> > in the
> > > > "Source and Intellectual Property Submission Plan" section based
> > on a
> > > > suggestion by John Ament.  The update was to help confirm the
> > previously
> > > > unstated assumption that we will submit an SGA.  I have copied
> the
> > > updated
> > > > proposal from the wiki to the email below and highlighted (in
> > yellow) the
> > > > new sentence below in the document.
> > > >
> > > > Folks on the cc line who have already voted, please let us know
> if
> > the
> > > > change impacts your vote.
> > > >
> > > > Thank you all,
> > > > Jeff
> > > >
> > > >
> > > >
> > > > = Superset =
> > > >
> > > > == Abstract ==
> > > > Superset is an enterprise-ready web application for data
> > exploration,
> > > data
> > > > visualization and dashboarding.
> > > >
> > > > == Proposal ==
> > > > Superset is business intelligence (BI) software that helps modern
> > > > organizations visualize and interact with their data. Superset
> > enables
> > > > users explore data from a variety of databases, assemble
> beautiful
> > > > dashboards and share their findings.  Superset works neatly with
> > all
> > > modern
> > > > SQL-speaking databases, and integrates with Druid.io to provide
> > > real-time,
> > > > interactive, blazing fast data access to large datasets.
> > > >
> > > > == Background ==
> > > > Data is mission critical. To succeed in this era, organizations
> > need to
> > > > provide low-friction, intuitive and interactive access to data.
> It
> > is
> > > > paramount for knowledge workers to be capable of answering their
> > own
> > > > questions by querying, exploring and visualizing data.
> > > >
> > > > The entire business intelligence industry has pivoted from a
> model
> > of
> > > > centralized top-down platforms driven by IT organizations to
> > self-service
> > > > analytics and agile workflows by any user.  This shift unblocks
> > > centralized
> > > > service bottlenecks for creating data visualizations while also
> > creating
> > > an
> > > > environment that is iterative and fast-moving.  This means that
> > business
> > > > intelligence software must also be easy and delightful to use.
> > > > Self-service analytics doesn’t mean that admin and governance
> > features
> > > are
> > > > not needed.
> > > > Modern BI tools provide fine-grain access controls and auditing
> > > > capabilities to understand how data is being used.  Superset is a
> > > solution
> > > > that delivers on all of these vectors.
> > > >
> > > > The technology stack is also constantly morphing - vendors are
> > struggling
> > > > to provide cheap, quick and easy solutions to access data.
> > Business
> > > > intelligence users are finding existing solutions lacking as
> these
> > > software
> > > > products either disregard or react slowly to recent game-changing
> > > > technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin,
> > d3.js,
> > > > React.js and iPython’s Jupyter for instance.
> > > >
> > > > == Rationale ==
> > > > Business intelligence is more relevant today than at any other
> > point in
> > > > history.  Organizations are currently very limited in options for
> > open
> > > > source data visualization solutions, especially solutions that
> are
> > both
> > > > self-service and enterprise-ready.  Every company informing their
> > > decisions
> > > > with data needs a BI tool.
> > > >
> > > > We believe that Superset will be a strong compliment to existing
> > Apache
> > > > Software Foundation technologies by offering scalable user
> > interactions
> > > to
> > > > distributed storage and computation solutions.  Users will often
> > find
> > > that
> > > > Superset can act as a catalyst for tooling that can 

Re: [VOTE] Superset Proposal for Apache Incubator

[Jacques Nadeau]

+1 binding

On Apr 27, 2017 1:35 PM, "Jitendra Pandey"  wrote:

> Re-affirming. +1 (binding)
>
> On 4/27/17, 1:24 PM, "Ashutosh Chauhan" 
> wrote:
>
> Re-affirming my vote as well:
>
> +1 (binding)
>
> On Thu, Apr 27, 2017 at 10:45 AM, Julian Hyde 
> wrote:
>
> > Re-affriming my vote:
> >
> > +1 (binding)
> >
> > > On Apr 26, 2017, at 11:12 PM, Jeff Feng 
> wrote:
> > >
> > > Hello everyone,
> > >
> > > Thank you for checking out our proposal on Superset and for your
> > > consideration for the Apache Incubator.  So far, I believe we have
> 8
> > > binding votes and 2 non-binding votes.
> > >
> > > As Taylor mentioned earlier, we made a minor update to the wording
> in the
> > > "Source and Intellectual Property Submission Plan" section based
> on a
> > > suggestion by John Ament.  The update was to help confirm the
> previously
> > > unstated assumption that we will submit an SGA.  I have copied the
> > updated
> > > proposal from the wiki to the email below and highlighted (in
> yellow) the
> > > new sentence below in the document.
> > >
> > > Folks on the cc line who have already voted, please let us know if
> the
> > > change impacts your vote.
> > >
> > > Thank you all,
> > > Jeff
> > >
> > >
> > >
> > > = Superset =
> > >
> > > == Abstract ==
> > > Superset is an enterprise-ready web application for data
> exploration,
> > data
> > > visualization and dashboarding.
> > >
> > > == Proposal ==
> > > Superset is business intelligence (BI) software that helps modern
> > > organizations visualize and interact with their data. Superset
> enables
> > > users explore data from a variety of databases, assemble beautiful
> > > dashboards and share their findings.  Superset works neatly with
> all
> > modern
> > > SQL-speaking databases, and integrates with Druid.io to provide
> > real-time,
> > > interactive, blazing fast data access to large datasets.
> > >
> > > == Background ==
> > > Data is mission critical. To succeed in this era, organizations
> need to
> > > provide low-friction, intuitive and interactive access to data. It
> is
> > > paramount for knowledge workers to be capable of answering their
> own
> > > questions by querying, exploring and visualizing data.
> > >
> > > The entire business intelligence industry has pivoted from a model
> of
> > > centralized top-down platforms driven by IT organizations to
> self-service
> > > analytics and agile workflows by any user.  This shift unblocks
> > centralized
> > > service bottlenecks for creating data visualizations while also
> creating
> > an
> > > environment that is iterative and fast-moving.  This means that
> business
> > > intelligence software must also be easy and delightful to use.
> > > Self-service analytics doesn’t mean that admin and governance
> features
> > are
> > > not needed.
> > > Modern BI tools provide fine-grain access controls and auditing
> > > capabilities to understand how data is being used.  Superset is a
> > solution
> > > that delivers on all of these vectors.
> > >
> > > The technology stack is also constantly morphing - vendors are
> struggling
> > > to provide cheap, quick and easy solutions to access data.
> Business
> > > intelligence users are finding existing solutions lacking as these
> > software
> > > products either disregard or react slowly to recent game-changing
> > > technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin,
> d3.js,
> > > React.js and iPython’s Jupyter for instance.
> > >
> > > == Rationale ==
> > > Business intelligence is more relevant today than at any other
> point in
> > > history.  Organizations are currently very limited in options for
> open
> > > source data visualization solutions, especially solutions that are
> both
> > > self-service and enterprise-ready.  Every company informing their
> > decisions
> > > with data needs a BI tool.
> > >
> > > We believe that Superset will be a strong compliment to existing
> Apache
> > > Software Foundation technologies by offering scalable user
> interactions
> > to
> > > distributed storage and computation solutions.  Users will often
> find
> > that
> > > Superset can act as a catalyst for tooling that can visualize the
> > byproduct
> > > of data and computation infrastructure.
> > >
> > > Superset has many key design elements that help fill a gap in
> current
> > > solutions for organizations:
> > > * Easy, low friction access to data through a simple, web-based
> data
> > > exploration interface.  Composing charts and dashboards are
> intuitive.
> 

Re: [VOTE] Superset Proposal for Apache Incubator

[Jitendra Pandey]

Re-affirming. +1 (binding)

On 4/27/17, 1:24 PM, "Ashutosh Chauhan"  wrote:

Re-affirming my vote as well:

+1 (binding)

On Thu, Apr 27, 2017 at 10:45 AM, Julian Hyde  wrote:

> Re-affriming my vote:
>
> +1 (binding)
>
> > On Apr 26, 2017, at 11:12 PM, Jeff Feng  wrote:
> >
> > Hello everyone,
> >
> > Thank you for checking out our proposal on Superset and for your
> > consideration for the Apache Incubator.  So far, I believe we have 8
> > binding votes and 2 non-binding votes.
> >
> > As Taylor mentioned earlier, we made a minor update to the wording in 
the
> > "Source and Intellectual Property Submission Plan" section based on a
> > suggestion by John Ament.  The update was to help confirm the previously
> > unstated assumption that we will submit an SGA.  I have copied the
> updated
> > proposal from the wiki to the email below and highlighted (in yellow) 
the
> > new sentence below in the document.
> >
> > Folks on the cc line who have already voted, please let us know if the
> > change impacts your vote.
> >
> > Thank you all,
> > Jeff
> >
> >
> >
> > = Superset =
> >
> > == Abstract ==
> > Superset is an enterprise-ready web application for data exploration,
> data
> > visualization and dashboarding.
> >
> > == Proposal ==
> > Superset is business intelligence (BI) software that helps modern
> > organizations visualize and interact with their data. Superset enables
> > users explore data from a variety of databases, assemble beautiful
> > dashboards and share their findings.  Superset works neatly with all
> modern
> > SQL-speaking databases, and integrates with Druid.io to provide
> real-time,
> > interactive, blazing fast data access to large datasets.
> >
> > == Background ==
> > Data is mission critical. To succeed in this era, organizations need to
> > provide low-friction, intuitive and interactive access to data. It is
> > paramount for knowledge workers to be capable of answering their own
> > questions by querying, exploring and visualizing data.
> >
> > The entire business intelligence industry has pivoted from a model of
> > centralized top-down platforms driven by IT organizations to 
self-service
> > analytics and agile workflows by any user.  This shift unblocks
> centralized
> > service bottlenecks for creating data visualizations while also creating
> an
> > environment that is iterative and fast-moving.  This means that business
> > intelligence software must also be easy and delightful to use.
> > Self-service analytics doesn’t mean that admin and governance features
> are
> > not needed.
> > Modern BI tools provide fine-grain access controls and auditing
> > capabilities to understand how data is being used.  Superset is a
> solution
> > that delivers on all of these vectors.
> >
> > The technology stack is also constantly morphing - vendors are 
struggling
> > to provide cheap, quick and easy solutions to access data.  Business
> > intelligence users are finding existing solutions lacking as these
> software
> > products either disregard or react slowly to recent game-changing
> > technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
> > React.js and iPython’s Jupyter for instance.
> >
> > == Rationale ==
> > Business intelligence is more relevant today than at any other point in
> > history.  Organizations are currently very limited in options for open
> > source data visualization solutions, especially solutions that are both
> > self-service and enterprise-ready.  Every company informing their
> decisions
> > with data needs a BI tool.
> >
> > We believe that Superset will be a strong compliment to existing Apache
> > Software Foundation technologies by offering scalable user interactions
> to
> > distributed storage and computation solutions.  Users will often find
> that
> > Superset can act as a catalyst for tooling that can visualize the
> byproduct
> > of data and computation infrastructure.
> >
> > Superset has many key design elements that help fill a gap in current
> > solutions for organizations:
> > * Easy, low friction access to data through a simple, web-based data
> > exploration interface.  Composing charts and dashboards are intuitive.
> > Eliminating the need to write code or SQL empowers anyone to use it.
> > * Access to a wide array of rich, interactive data visualization types.
> > * Enterprise-ready: Integration with different authentication mechanisms
> > and granular permissions centered around actions and data access.
> > * Realtime & fast: 

Re: [VOTE] Superset Proposal for Apache Incubator

[Ashutosh Chauhan]

Re-affirming my vote as well:

+1 (binding)

On Thu, Apr 27, 2017 at 10:45 AM, Julian Hyde  wrote:

> Re-affriming my vote:
>
> +1 (binding)
>
> > On Apr 26, 2017, at 11:12 PM, Jeff Feng  wrote:
> >
> > Hello everyone,
> >
> > Thank you for checking out our proposal on Superset and for your
> > consideration for the Apache Incubator.  So far, I believe we have 8
> > binding votes and 2 non-binding votes.
> >
> > As Taylor mentioned earlier, we made a minor update to the wording in the
> > "Source and Intellectual Property Submission Plan" section based on a
> > suggestion by John Ament.  The update was to help confirm the previously
> > unstated assumption that we will submit an SGA.  I have copied the
> updated
> > proposal from the wiki to the email below and highlighted (in yellow) the
> > new sentence below in the document.
> >
> > Folks on the cc line who have already voted, please let us know if the
> > change impacts your vote.
> >
> > Thank you all,
> > Jeff
> >
> >
> >
> > = Superset =
> >
> > == Abstract ==
> > Superset is an enterprise-ready web application for data exploration,
> data
> > visualization and dashboarding.
> >
> > == Proposal ==
> > Superset is business intelligence (BI) software that helps modern
> > organizations visualize and interact with their data. Superset enables
> > users explore data from a variety of databases, assemble beautiful
> > dashboards and share their findings.  Superset works neatly with all
> modern
> > SQL-speaking databases, and integrates with Druid.io to provide
> real-time,
> > interactive, blazing fast data access to large datasets.
> >
> > == Background ==
> > Data is mission critical. To succeed in this era, organizations need to
> > provide low-friction, intuitive and interactive access to data. It is
> > paramount for knowledge workers to be capable of answering their own
> > questions by querying, exploring and visualizing data.
> >
> > The entire business intelligence industry has pivoted from a model of
> > centralized top-down platforms driven by IT organizations to self-service
> > analytics and agile workflows by any user.  This shift unblocks
> centralized
> > service bottlenecks for creating data visualizations while also creating
> an
> > environment that is iterative and fast-moving.  This means that business
> > intelligence software must also be easy and delightful to use.
> > Self-service analytics doesn’t mean that admin and governance features
> are
> > not needed.
> > Modern BI tools provide fine-grain access controls and auditing
> > capabilities to understand how data is being used.  Superset is a
> solution
> > that delivers on all of these vectors.
> >
> > The technology stack is also constantly morphing - vendors are struggling
> > to provide cheap, quick and easy solutions to access data.  Business
> > intelligence users are finding existing solutions lacking as these
> software
> > products either disregard or react slowly to recent game-changing
> > technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
> > React.js and iPython’s Jupyter for instance.
> >
> > == Rationale ==
> > Business intelligence is more relevant today than at any other point in
> > history.  Organizations are currently very limited in options for open
> > source data visualization solutions, especially solutions that are both
> > self-service and enterprise-ready.  Every company informing their
> decisions
> > with data needs a BI tool.
> >
> > We believe that Superset will be a strong compliment to existing Apache
> > Software Foundation technologies by offering scalable user interactions
> to
> > distributed storage and computation solutions.  Users will often find
> that
> > Superset can act as a catalyst for tooling that can visualize the
> byproduct
> > of data and computation infrastructure.
> >
> > Superset has many key design elements that help fill a gap in current
> > solutions for organizations:
> > * Easy, low friction access to data through a simple, web-based data
> > exploration interface.  Composing charts and dashboards are intuitive.
> > Eliminating the need to write code or SQL empowers anyone to use it.
> > * Access to a wide array of rich, interactive data visualization types.
> > * Enterprise-ready: Integration with different authentication mechanisms
> > and granular permissions centered around actions and data access.
> > * Realtime & fast: Superset provides realtime analytics at the speed of
> > thought on very large datasets when integrated with Druid.io.
> > * Broad data access: Consume data out of any SQL-speaking relational
> > database.
> > * Extensible: Can be extended to talk to many noSQL databases like Apache
> > Drill, Elastic Search, and other popular database engines.
> > * Fast loading dashboards with configurable web-scale caching.
> > * Plug-in framework that enables organizations to build custom analytical
> > applications with new UI/UX interfaces.
> > * 

Re: [VOTE] Superset Proposal for Apache Incubator

[Julian Hyde]

Re-affriming my vote:

+1 (binding)

> On Apr 26, 2017, at 11:12 PM, Jeff Feng  wrote:
> 
> Hello everyone,
> 
> Thank you for checking out our proposal on Superset and for your
> consideration for the Apache Incubator.  So far, I believe we have 8
> binding votes and 2 non-binding votes.
> 
> As Taylor mentioned earlier, we made a minor update to the wording in the
> "Source and Intellectual Property Submission Plan" section based on a
> suggestion by John Ament.  The update was to help confirm the previously
> unstated assumption that we will submit an SGA.  I have copied the updated
> proposal from the wiki to the email below and highlighted (in yellow) the
> new sentence below in the document.
> 
> Folks on the cc line who have already voted, please let us know if the
> change impacts your vote.
> 
> Thank you all,
> Jeff
> 
> 
> 
> = Superset =
> 
> == Abstract ==
> Superset is an enterprise-ready web application for data exploration, data
> visualization and dashboarding.
> 
> == Proposal ==
> Superset is business intelligence (BI) software that helps modern
> organizations visualize and interact with their data. Superset enables
> users explore data from a variety of databases, assemble beautiful
> dashboards and share their findings.  Superset works neatly with all modern
> SQL-speaking databases, and integrates with Druid.io to provide real-time,
> interactive, blazing fast data access to large datasets.
> 
> == Background ==
> Data is mission critical. To succeed in this era, organizations need to
> provide low-friction, intuitive and interactive access to data. It is
> paramount for knowledge workers to be capable of answering their own
> questions by querying, exploring and visualizing data.
> 
> The entire business intelligence industry has pivoted from a model of
> centralized top-down platforms driven by IT organizations to self-service
> analytics and agile workflows by any user.  This shift unblocks centralized
> service bottlenecks for creating data visualizations while also creating an
> environment that is iterative and fast-moving.  This means that business
> intelligence software must also be easy and delightful to use.
> Self-service analytics doesn’t mean that admin and governance features are
> not needed.
> Modern BI tools provide fine-grain access controls and auditing
> capabilities to understand how data is being used.  Superset is a solution
> that delivers on all of these vectors.
> 
> The technology stack is also constantly morphing - vendors are struggling
> to provide cheap, quick and easy solutions to access data.  Business
> intelligence users are finding existing solutions lacking as these software
> products either disregard or react slowly to recent game-changing
> technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
> React.js and iPython’s Jupyter for instance.
> 
> == Rationale ==
> Business intelligence is more relevant today than at any other point in
> history.  Organizations are currently very limited in options for open
> source data visualization solutions, especially solutions that are both
> self-service and enterprise-ready.  Every company informing their decisions
> with data needs a BI tool.
> 
> We believe that Superset will be a strong compliment to existing Apache
> Software Foundation technologies by offering scalable user interactions to
> distributed storage and computation solutions.  Users will often find that
> Superset can act as a catalyst for tooling that can visualize the byproduct
> of data and computation infrastructure.
> 
> Superset has many key design elements that help fill a gap in current
> solutions for organizations:
> * Easy, low friction access to data through a simple, web-based data
> exploration interface.  Composing charts and dashboards are intuitive.
> Eliminating the need to write code or SQL empowers anyone to use it.
> * Access to a wide array of rich, interactive data visualization types.
> * Enterprise-ready: Integration with different authentication mechanisms
> and granular permissions centered around actions and data access.
> * Realtime & fast: Superset provides realtime analytics at the speed of
> thought on very large datasets when integrated with Druid.io.
> * Broad data access: Consume data out of any SQL-speaking relational
> database.
> * Extensible: Can be extended to talk to many noSQL databases like Apache
> Drill, Elastic Search, and other popular database engines.
> * Fast loading dashboards with configurable web-scale caching.
> * Plug-in framework that enables organizations to build custom analytical
> applications with new UI/UX interfaces.
> * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking users
> with more flexibility.  SQL Lab integrates with the visualization engine
> seamlessly.
> 
> == Initial Goals ==
> The initial goals of the Superset project are several-fold:
> * Move the existing codebase to Apache and integrate with the Apache
> 

Re: [VOTE] Superset Proposal for Apache Incubator

[Felix Cheung]

+1 (nonbinding)

On Wed, Apr 26, 2017 at 11:13 PM Jeff Feng  wrote:

> Hello everyone,
>
> Thank you for checking out our proposal on Superset and for your
> consideration for the Apache Incubator.  So far, I believe we have 8
> binding votes and 2 non-binding votes.
>
> As Taylor mentioned earlier, we made a minor update to the wording in the
> "Source and Intellectual Property Submission Plan" section based on a
> suggestion by John Ament.  The update was to help confirm the previously
> unstated assumption that we will submit an SGA.  I have copied the updated
> proposal from the wiki to the email below and highlighted (in yellow) the
> new sentence below in the document.
>
> Folks on the cc line who have already voted, please let us know if the
> change impacts your vote.
>
> Thank you all,
> Jeff
>
>
>
> = Superset =
>
> == Abstract ==
> Superset is an enterprise-ready web application for data exploration, data
> visualization and dashboarding.
>
> == Proposal ==
> Superset is business intelligence (BI) software that helps modern
> organizations visualize and interact with their data. Superset enables
> users explore data from a variety of databases, assemble beautiful
> dashboards and share their findings.  Superset works neatly with all modern
> SQL-speaking databases, and integrates with Druid.io to provide real-time,
> interactive, blazing fast data access to large datasets.
>
> == Background ==
> Data is mission critical. To succeed in this era, organizations need to
> provide low-friction, intuitive and interactive access to data. It is
> paramount for knowledge workers to be capable of answering their own
> questions by querying, exploring and visualizing data.
>
> The entire business intelligence industry has pivoted from a model of
> centralized top-down platforms driven by IT organizations to self-service
> analytics and agile workflows by any user.  This shift unblocks centralized
> service bottlenecks for creating data visualizations while also creating an
> environment that is iterative and fast-moving.  This means that business
> intelligence software must also be easy and delightful to use.
> Self-service analytics doesn’t mean that admin and governance features are
> not needed.
> Modern BI tools provide fine-grain access controls and auditing
> capabilities to understand how data is being used.  Superset is a solution
> that delivers on all of these vectors.
>
> The technology stack is also constantly morphing - vendors are struggling
> to provide cheap, quick and easy solutions to access data.  Business
> intelligence users are finding existing solutions lacking as these software
> products either disregard or react slowly to recent game-changing
> technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
> React.js and iPython’s Jupyter for instance.
>
> == Rationale ==
> Business intelligence is more relevant today than at any other point in
> history.  Organizations are currently very limited in options for open
> source data visualization solutions, especially solutions that are both
> self-service and enterprise-ready.  Every company informing their decisions
> with data needs a BI tool.
>
> We believe that Superset will be a strong compliment to existing Apache
> Software Foundation technologies by offering scalable user interactions to
> distributed storage and computation solutions.  Users will often find that
> Superset can act as a catalyst for tooling that can visualize the byproduct
> of data and computation infrastructure.
>
> Superset has many key design elements that help fill a gap in current
> solutions for organizations:
>  * Easy, low friction access to data through a simple, web-based data
> exploration interface.  Composing charts and dashboards are intuitive.
> Eliminating the need to write code or SQL empowers anyone to use it.
>  * Access to a wide array of rich, interactive data visualization types.
>  * Enterprise-ready: Integration with different authentication mechanisms
> and granular permissions centered around actions and data access.
>  * Realtime & fast: Superset provides realtime analytics at the speed of
> thought on very large datasets when integrated with Druid.io.
>  * Broad data access: Consume data out of any SQL-speaking relational
> database.
>  * Extensible: Can be extended to talk to many noSQL databases like Apache
> Drill, Elastic Search, and other popular database engines.
>  * Fast loading dashboards with configurable web-scale caching.
>  * Plug-in framework that enables organizations to build custom analytical
> applications with new UI/UX interfaces.
>  * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking users
> with more flexibility.  SQL Lab integrates with the visualization engine
> seamlessly.
>
> == Initial Goals ==
> The initial goals of the Superset project are several-fold:
>  * Move the existing codebase to Apache and integrate with the Apache
> development process.
>  * 

Re: [VOTE] Superset Proposal for Apache Incubator

[Jeff Feng]

Hello everyone,

Thank you for checking out our proposal on Superset and for your
consideration for the Apache Incubator.  So far, I believe we have 8
binding votes and 2 non-binding votes.

As Taylor mentioned earlier, we made a minor update to the wording in the
"Source and Intellectual Property Submission Plan" section based on a
suggestion by John Ament.  The update was to help confirm the previously
unstated assumption that we will submit an SGA.  I have copied the updated
proposal from the wiki to the email below and highlighted (in yellow) the
new sentence below in the document.

Folks on the cc line who have already voted, please let us know if the
change impacts your vote.

Thank you all,
Jeff



= Superset =

== Abstract ==
Superset is an enterprise-ready web application for data exploration, data
visualization and dashboarding.

== Proposal ==
Superset is business intelligence (BI) software that helps modern
organizations visualize and interact with their data. Superset enables
users explore data from a variety of databases, assemble beautiful
dashboards and share their findings.  Superset works neatly with all modern
SQL-speaking databases, and integrates with Druid.io to provide real-time,
interactive, blazing fast data access to large datasets.

== Background ==
Data is mission critical. To succeed in this era, organizations need to
provide low-friction, intuitive and interactive access to data. It is
paramount for knowledge workers to be capable of answering their own
questions by querying, exploring and visualizing data.

The entire business intelligence industry has pivoted from a model of
centralized top-down platforms driven by IT organizations to self-service
analytics and agile workflows by any user.  This shift unblocks centralized
service bottlenecks for creating data visualizations while also creating an
environment that is iterative and fast-moving.  This means that business
intelligence software must also be easy and delightful to use.
Self-service analytics doesn’t mean that admin and governance features are
not needed.
Modern BI tools provide fine-grain access controls and auditing
capabilities to understand how data is being used.  Superset is a solution
that delivers on all of these vectors.

The technology stack is also constantly morphing - vendors are struggling
to provide cheap, quick and easy solutions to access data.  Business
intelligence users are finding existing solutions lacking as these software
products either disregard or react slowly to recent game-changing
technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
React.js and iPython’s Jupyter for instance.

== Rationale ==
Business intelligence is more relevant today than at any other point in
history.  Organizations are currently very limited in options for open
source data visualization solutions, especially solutions that are both
self-service and enterprise-ready.  Every company informing their decisions
with data needs a BI tool.

We believe that Superset will be a strong compliment to existing Apache
Software Foundation technologies by offering scalable user interactions to
distributed storage and computation solutions.  Users will often find that
Superset can act as a catalyst for tooling that can visualize the byproduct
of data and computation infrastructure.

Superset has many key design elements that help fill a gap in current
solutions for organizations:
 * Easy, low friction access to data through a simple, web-based data
exploration interface.  Composing charts and dashboards are intuitive.
Eliminating the need to write code or SQL empowers anyone to use it.
 * Access to a wide array of rich, interactive data visualization types.
 * Enterprise-ready: Integration with different authentication mechanisms
and granular permissions centered around actions and data access.
 * Realtime & fast: Superset provides realtime analytics at the speed of
thought on very large datasets when integrated with Druid.io.
 * Broad data access: Consume data out of any SQL-speaking relational
database.
 * Extensible: Can be extended to talk to many noSQL databases like Apache
Drill, Elastic Search, and other popular database engines.
 * Fast loading dashboards with configurable web-scale caching.
 * Plug-in framework that enables organizations to build custom analytical
applications with new UI/UX interfaces.
 * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking users
with more flexibility.  SQL Lab integrates with the visualization engine
seamlessly.

== Initial Goals ==
The initial goals of the Superset project are several-fold:
 * Move the existing codebase to Apache and integrate with the Apache
development process.
 * Redesign the user interface and interaction model for creating
visualizations/dashboards and connecting to data sources
 * Build robust support for security and governance of the tool including
popular authorization modules (including Apache Ranger and Apache Sentry)
and a 

Re: [VOTE] Superset Proposal for Apache Incubator

[Edward J. Yoon]

+1 binding

On Thu, Apr 27, 2017 at 10:29 AM, Naresh Agarwal
 wrote:
> +1 (non-binding).
>
> Thanks
> Naresh Agarwal
>
> On Thu, Apr 27, 2017 at 5:06 AM, Ted Dunning  wrote:
>
>> +1 (binding)
>>
>>
>>
>> On Tue, Apr 25, 2017 at 1:58 PM, Joe Witt  wrote:
>>
>> > +1 (binding)
>> >
>> > On Tue, Apr 25, 2017 at 4:52 PM, Jitendra Pandey
>> >  wrote:
>> > > +1 (binding)
>> > >
>> > > On 4/25/17, 1:27 PM, "Julian Hyde"  wrote:
>> > >
>> > > +1 binding
>> > >
>> > > > On Apr 25, 2017, at 12:48 PM, moon soo Lee 
>> > wrote:
>> > > >
>> > > > +1 (non-binding)
>> > > >
>> > > > On Tue, Apr 25, 2017 at 11:49 AM Ashutosh Chauhan <
>> > hashut...@apache.org>
>> > > > wrote:
>> > > >
>> > > >> +1 (binding)
>> > > >>
>> > > >> Thanks,
>> > > >> Ashutosh
>> > > >>
>> > > >> On Mon, Apr 24, 2017 at 5:45 AM, Luke Han 
>> > wrote:
>> > > >>
>> > > >>> +1 binding
>> > > >>>
>> > > >>> Love to see Superset to be new incubator project.
>> > > >>>
>> > > >>>
>> > > >>> Best Regards!
>> > > >>> -
>> > > >>>
>> > > >>> Luke Han
>> > > >>>
>> > > >>> On Sun, Apr 23, 2017 at 10:53 PM, Jeff Feng <
>> jeff.f...@gmail.com>
>> > wrote:
>> > > >>>
>> > >  Dear Apache Incubator Community,
>> > > 
>> > >  We have updated the Superset proposal
>> > >   (copied
>> > below) for
>> > > 
>> > >  Apache Incubation with an additional mentor (Luke Han -
>> > >  luke@apache.org),
>> > >  and would like to start a vote thread for acceptance into the
>> > incubator.
>> > > 
>> > >  Our team is excited to share Superset with the Apache
>> community
>> > and we
>> > >  hope
>> > >  for the your continued support!
>> > > 
>> > >  Cheers,
>> > >  Jeff & the Superset Team
>> > > 
>> > > 
>> > > 
>> > > 
>> > >  = Superset =
>> > > 
>> > >  == Abstract ==
>> > >  Superset is an enterprise-ready web application for data
>> > exploration,
>> > > >> data
>> > >  visualization and dashboarding.
>> > > 
>> > >  == Proposal ==
>> > >  Superset is business intelligence (BI) software that helps
>> > modern
>> > >  organizations visualize and interact with their data. Superset
>> > enables
>> > >  users explore data from a variety of databases, assemble
>> > beautiful
>> > >  dashboards and share their findings.  Superset works neatly
>> > with all
>> > >  modern
>> > >  SQL-speaking databases, and integrates with Druid.io to
>> provide
>> > > >> real-time,
>> > >  interactive, blazing fast data access to large datasets.
>> > > 
>> > >  == Background ==
>> > >  Data is mission critical. To succeed in this era,
>> organizations
>> > need to
>> > >  provide low-friction, intuitive and interactive access to
>> data.
>> > It is
>> > >  paramount for knowledge workers to be capable of answering
>> > their own
>> > >  questions by querying, exploring and visualizing data.
>> > > 
>> > >  The entire business intelligence industry has pivoted from a
>> > model of
>> > >  centralized top-down platforms driven by IT organizations to
>> > > >> self-service
>> > >  analytics and agile workflows by any user.  This shift
>> unblocks
>> > >  centralized
>> > >  service bottlenecks for creating data visualizations while
>> also
>> > creating
>> > >  an
>> > >  environment that is iterative and fast-moving.  This means
>> that
>> > business
>> > >  intelligence software must also be easy and delightful to use.
>> > >  Self-service analytics doesn’t mean that admin and governance
>> > features
>> > > >> are
>> > >  not needed.
>> > >  Modern BI tools provide fine-grain access controls and
>> auditing
>> > >  capabilities to understand how data is being used.  Superset
>> is
>> > a
>> > > >> solution
>> > >  that delivers on all of these vectors.
>> > > 
>> > >  The technology stack is also constantly morphing - vendors are
>> > > >> struggling
>> > >  to provide cheap, quick and easy solutions to access data.
>> > Business
>> > >  intelligence users are finding existing solutions lacking as
>> > these
>> > >  software
>> > >  products either disregard or react slowly to recent
>> > game-changing
>> > >  technologies like Druid.io, PrestoDB, Apache Drill, Apache
>> > Kylin, d3.js,
>> > >  React.js and iPython’s Jupyter for instance.
>> > > 
>> > > 

Re: [VOTE] Superset Proposal for Apache Incubator

[Naresh Agarwal]

+1 (non-binding).

Thanks
Naresh Agarwal

On Thu, Apr 27, 2017 at 5:06 AM, Ted Dunning  wrote:

> +1 (binding)
>
>
>
> On Tue, Apr 25, 2017 at 1:58 PM, Joe Witt  wrote:
>
> > +1 (binding)
> >
> > On Tue, Apr 25, 2017 at 4:52 PM, Jitendra Pandey
> >  wrote:
> > > +1 (binding)
> > >
> > > On 4/25/17, 1:27 PM, "Julian Hyde"  wrote:
> > >
> > > +1 binding
> > >
> > > > On Apr 25, 2017, at 12:48 PM, moon soo Lee 
> > wrote:
> > > >
> > > > +1 (non-binding)
> > > >
> > > > On Tue, Apr 25, 2017 at 11:49 AM Ashutosh Chauhan <
> > hashut...@apache.org>
> > > > wrote:
> > > >
> > > >> +1 (binding)
> > > >>
> > > >> Thanks,
> > > >> Ashutosh
> > > >>
> > > >> On Mon, Apr 24, 2017 at 5:45 AM, Luke Han 
> > wrote:
> > > >>
> > > >>> +1 binding
> > > >>>
> > > >>> Love to see Superset to be new incubator project.
> > > >>>
> > > >>>
> > > >>> Best Regards!
> > > >>> -
> > > >>>
> > > >>> Luke Han
> > > >>>
> > > >>> On Sun, Apr 23, 2017 at 10:53 PM, Jeff Feng <
> jeff.f...@gmail.com>
> > wrote:
> > > >>>
> > >  Dear Apache Incubator Community,
> > > 
> > >  We have updated the Superset proposal
> > >   (copied
> > below) for
> > > 
> > >  Apache Incubation with an additional mentor (Luke Han -
> > >  luke@apache.org),
> > >  and would like to start a vote thread for acceptance into the
> > incubator.
> > > 
> > >  Our team is excited to share Superset with the Apache
> community
> > and we
> > >  hope
> > >  for the your continued support!
> > > 
> > >  Cheers,
> > >  Jeff & the Superset Team
> > > 
> > > 
> > > 
> > > 
> > >  = Superset =
> > > 
> > >  == Abstract ==
> > >  Superset is an enterprise-ready web application for data
> > exploration,
> > > >> data
> > >  visualization and dashboarding.
> > > 
> > >  == Proposal ==
> > >  Superset is business intelligence (BI) software that helps
> > modern
> > >  organizations visualize and interact with their data. Superset
> > enables
> > >  users explore data from a variety of databases, assemble
> > beautiful
> > >  dashboards and share their findings.  Superset works neatly
> > with all
> > >  modern
> > >  SQL-speaking databases, and integrates with Druid.io to
> provide
> > > >> real-time,
> > >  interactive, blazing fast data access to large datasets.
> > > 
> > >  == Background ==
> > >  Data is mission critical. To succeed in this era,
> organizations
> > need to
> > >  provide low-friction, intuitive and interactive access to
> data.
> > It is
> > >  paramount for knowledge workers to be capable of answering
> > their own
> > >  questions by querying, exploring and visualizing data.
> > > 
> > >  The entire business intelligence industry has pivoted from a
> > model of
> > >  centralized top-down platforms driven by IT organizations to
> > > >> self-service
> > >  analytics and agile workflows by any user.  This shift
> unblocks
> > >  centralized
> > >  service bottlenecks for creating data visualizations while
> also
> > creating
> > >  an
> > >  environment that is iterative and fast-moving.  This means
> that
> > business
> > >  intelligence software must also be easy and delightful to use.
> > >  Self-service analytics doesn’t mean that admin and governance
> > features
> > > >> are
> > >  not needed.
> > >  Modern BI tools provide fine-grain access controls and
> auditing
> > >  capabilities to understand how data is being used.  Superset
> is
> > a
> > > >> solution
> > >  that delivers on all of these vectors.
> > > 
> > >  The technology stack is also constantly morphing - vendors are
> > > >> struggling
> > >  to provide cheap, quick and easy solutions to access data.
> > Business
> > >  intelligence users are finding existing solutions lacking as
> > these
> > >  software
> > >  products either disregard or react slowly to recent
> > game-changing
> > >  technologies like Druid.io, PrestoDB, Apache Drill, Apache
> > Kylin, d3.js,
> > >  React.js and iPython’s Jupyter for instance.
> > > 
> > >  == Rationale ==
> > >  Business intelligence is more relevant today than at any other
> > point in
> > >  history.  Organizations are currently very limited in options
> > for open
> > >  source data visualization 

Re: [VOTE] Superset Proposal for Apache Incubator

[P. Taylor Goetz]

There was a minor change to the proposal in the Incubator wiki, so technically 
what were voting on and the wiki don't match.

I'm okay with that and don't think it should disrupt the vote. Highlighting the 
change in this thread should be enough.

+1 (binding)

I would recommend asking for/finding additional mentors to bring the count to 
>= 3.

-Taylor

> On Apr 23, 2017, at 10:53 AM, Jeff Feng  wrote:
> 
> Dear Apache Incubator Community,
> 
> We have updated the Superset proposal
>  (copied below) for
> Apache Incubation with an additional mentor (Luke Han - luke@apache.org),
> and would like to start a vote thread for acceptance into the incubator.
> 
> Our team is excited to share Superset with the Apache community and we hope
> for the your continued support!
> 
> Cheers,
> Jeff & the Superset Team
> 
> 
> 
> 
> = Superset =
> 
> == Abstract ==
> Superset is an enterprise-ready web application for data exploration, data
> visualization and dashboarding.
> 
> == Proposal ==
> Superset is business intelligence (BI) software that helps modern
> organizations visualize and interact with their data. Superset enables
> users explore data from a variety of databases, assemble beautiful
> dashboards and share their findings.  Superset works neatly with all modern
> SQL-speaking databases, and integrates with Druid.io to provide real-time,
> interactive, blazing fast data access to large datasets.
> 
> == Background ==
> Data is mission critical. To succeed in this era, organizations need to
> provide low-friction, intuitive and interactive access to data. It is
> paramount for knowledge workers to be capable of answering their own
> questions by querying, exploring and visualizing data.
> 
> The entire business intelligence industry has pivoted from a model of
> centralized top-down platforms driven by IT organizations to self-service
> analytics and agile workflows by any user.  This shift unblocks centralized
> service bottlenecks for creating data visualizations while also creating an
> environment that is iterative and fast-moving.  This means that business
> intelligence software must also be easy and delightful to use.
> Self-service analytics doesn’t mean that admin and governance features are
> not needed.
> Modern BI tools provide fine-grain access controls and auditing
> capabilities to understand how data is being used.  Superset is a solution
> that delivers on all of these vectors.
> 
> The technology stack is also constantly morphing - vendors are struggling
> to provide cheap, quick and easy solutions to access data.  Business
> intelligence users are finding existing solutions lacking as these software
> products either disregard or react slowly to recent game-changing
> technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
> React.js and iPython’s Jupyter for instance.
> 
> == Rationale ==
> Business intelligence is more relevant today than at any other point in
> history.  Organizations are currently very limited in options for open
> source data visualization solutions, especially solutions that are both
> self-service and enterprise-ready.  Every company informing their decisions
> with data needs a BI tool.
> 
> We believe that Superset will be a strong compliment to existing Apache
> Software Foundation technologies by offering scalable user interactions to
> distributed storage and computation solutions.  Users will often find that
> Superset can act as a catalyst for tooling that can visualize the byproduct
> of data and computation infrastructure.
> 
> Superset has many key design elements that help fill a gap in current
> solutions for organizations:
> * Easy, low friction access to data through a simple, web-based data
> exploration interface.  Composing charts and dashboards are intuitive.
> Eliminating the need to write code or SQL empowers anyone to use it.
> * Access to a wide array of rich, interactive data visualization types.
> * Enterprise-ready: Integration with different authentication mechanisms
> and granular permissions centered around actions and data access.
> * Realtime & fast: Superset provides realtime analytics at the speed of
> thought on very large datasets when integrated with Druid.io.
> * Broad data access: Consume data out of any SQL-speaking relational
> database.
> * Extensible: Can be extended to talk to many noSQL databases like Apache
> Drill, Elastic Search, and other popular database engines.
> * Fast loading dashboards with configurable web-scale caching.
> * Plug-in framework that enables organizations to build custom analytical
> applications with new UI/UX interfaces.
> * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking users
> with more flexibility.  SQL Lab integrates with the visualization engine
> seamlessly.
> 
> == Initial Goals ==
> The initial goals of the Superset project are several-fold:
> * Move the existing codebase to 

Re: [VOTE] Superset Proposal for Apache Incubator

[Ted Dunning]

+1 (binding)



On Tue, Apr 25, 2017 at 1:58 PM, Joe Witt  wrote:

> +1 (binding)
>
> On Tue, Apr 25, 2017 at 4:52 PM, Jitendra Pandey
>  wrote:
> > +1 (binding)
> >
> > On 4/25/17, 1:27 PM, "Julian Hyde"  wrote:
> >
> > +1 binding
> >
> > > On Apr 25, 2017, at 12:48 PM, moon soo Lee 
> wrote:
> > >
> > > +1 (non-binding)
> > >
> > > On Tue, Apr 25, 2017 at 11:49 AM Ashutosh Chauhan <
> hashut...@apache.org>
> > > wrote:
> > >
> > >> +1 (binding)
> > >>
> > >> Thanks,
> > >> Ashutosh
> > >>
> > >> On Mon, Apr 24, 2017 at 5:45 AM, Luke Han 
> wrote:
> > >>
> > >>> +1 binding
> > >>>
> > >>> Love to see Superset to be new incubator project.
> > >>>
> > >>>
> > >>> Best Regards!
> > >>> -
> > >>>
> > >>> Luke Han
> > >>>
> > >>> On Sun, Apr 23, 2017 at 10:53 PM, Jeff Feng 
> wrote:
> > >>>
> >  Dear Apache Incubator Community,
> > 
> >  We have updated the Superset proposal
> >   (copied
> below) for
> > 
> >  Apache Incubation with an additional mentor (Luke Han -
> >  luke@apache.org),
> >  and would like to start a vote thread for acceptance into the
> incubator.
> > 
> >  Our team is excited to share Superset with the Apache community
> and we
> >  hope
> >  for the your continued support!
> > 
> >  Cheers,
> >  Jeff & the Superset Team
> > 
> > 
> > 
> > 
> >  = Superset =
> > 
> >  == Abstract ==
> >  Superset is an enterprise-ready web application for data
> exploration,
> > >> data
> >  visualization and dashboarding.
> > 
> >  == Proposal ==
> >  Superset is business intelligence (BI) software that helps
> modern
> >  organizations visualize and interact with their data. Superset
> enables
> >  users explore data from a variety of databases, assemble
> beautiful
> >  dashboards and share their findings.  Superset works neatly
> with all
> >  modern
> >  SQL-speaking databases, and integrates with Druid.io to provide
> > >> real-time,
> >  interactive, blazing fast data access to large datasets.
> > 
> >  == Background ==
> >  Data is mission critical. To succeed in this era, organizations
> need to
> >  provide low-friction, intuitive and interactive access to data.
> It is
> >  paramount for knowledge workers to be capable of answering
> their own
> >  questions by querying, exploring and visualizing data.
> > 
> >  The entire business intelligence industry has pivoted from a
> model of
> >  centralized top-down platforms driven by IT organizations to
> > >> self-service
> >  analytics and agile workflows by any user.  This shift unblocks
> >  centralized
> >  service bottlenecks for creating data visualizations while also
> creating
> >  an
> >  environment that is iterative and fast-moving.  This means that
> business
> >  intelligence software must also be easy and delightful to use.
> >  Self-service analytics doesn’t mean that admin and governance
> features
> > >> are
> >  not needed.
> >  Modern BI tools provide fine-grain access controls and auditing
> >  capabilities to understand how data is being used.  Superset is
> a
> > >> solution
> >  that delivers on all of these vectors.
> > 
> >  The technology stack is also constantly morphing - vendors are
> > >> struggling
> >  to provide cheap, quick and easy solutions to access data.
> Business
> >  intelligence users are finding existing solutions lacking as
> these
> >  software
> >  products either disregard or react slowly to recent
> game-changing
> >  technologies like Druid.io, PrestoDB, Apache Drill, Apache
> Kylin, d3.js,
> >  React.js and iPython’s Jupyter for instance.
> > 
> >  == Rationale ==
> >  Business intelligence is more relevant today than at any other
> point in
> >  history.  Organizations are currently very limited in options
> for open
> >  source data visualization solutions, especially solutions that
> are both
> >  self-service and enterprise-ready.  Every company informing
> their
> >  decisions
> >  with data needs a BI tool.
> > 
> >  We believe that Superset will be a strong compliment to
> existing Apache
> >  Software Foundation technologies by offering scalable user
> interactions
> > >> to
> >  distributed 

Re: [VOTE] Superset Proposal for Apache Incubator

[Joe Witt]

+1 (binding)

On Tue, Apr 25, 2017 at 4:52 PM, Jitendra Pandey
 wrote:
> +1 (binding)
>
> On 4/25/17, 1:27 PM, "Julian Hyde"  wrote:
>
> +1 binding
>
> > On Apr 25, 2017, at 12:48 PM, moon soo Lee  wrote:
> >
> > +1 (non-binding)
> >
> > On Tue, Apr 25, 2017 at 11:49 AM Ashutosh Chauhan 
> > wrote:
> >
> >> +1 (binding)
> >>
> >> Thanks,
> >> Ashutosh
> >>
> >> On Mon, Apr 24, 2017 at 5:45 AM, Luke Han  wrote:
> >>
> >>> +1 binding
> >>>
> >>> Love to see Superset to be new incubator project.
> >>>
> >>>
> >>> Best Regards!
> >>> -
> >>>
> >>> Luke Han
> >>>
> >>> On Sun, Apr 23, 2017 at 10:53 PM, Jeff Feng  
> wrote:
> >>>
>  Dear Apache Incubator Community,
> 
>  We have updated the Superset proposal
>   (copied below) 
> for
> 
>  Apache Incubation with an additional mentor (Luke Han -
>  luke@apache.org),
>  and would like to start a vote thread for acceptance into the 
> incubator.
> 
>  Our team is excited to share Superset with the Apache community and 
> we
>  hope
>  for the your continued support!
> 
>  Cheers,
>  Jeff & the Superset Team
> 
> 
> 
> 
>  = Superset =
> 
>  == Abstract ==
>  Superset is an enterprise-ready web application for data exploration,
> >> data
>  visualization and dashboarding.
> 
>  == Proposal ==
>  Superset is business intelligence (BI) software that helps modern
>  organizations visualize and interact with their data. Superset 
> enables
>  users explore data from a variety of databases, assemble beautiful
>  dashboards and share their findings.  Superset works neatly with all
>  modern
>  SQL-speaking databases, and integrates with Druid.io to provide
> >> real-time,
>  interactive, blazing fast data access to large datasets.
> 
>  == Background ==
>  Data is mission critical. To succeed in this era, organizations need 
> to
>  provide low-friction, intuitive and interactive access to data. It is
>  paramount for knowledge workers to be capable of answering their own
>  questions by querying, exploring and visualizing data.
> 
>  The entire business intelligence industry has pivoted from a model of
>  centralized top-down platforms driven by IT organizations to
> >> self-service
>  analytics and agile workflows by any user.  This shift unblocks
>  centralized
>  service bottlenecks for creating data visualizations while also 
> creating
>  an
>  environment that is iterative and fast-moving.  This means that 
> business
>  intelligence software must also be easy and delightful to use.
>  Self-service analytics doesn’t mean that admin and governance 
> features
> >> are
>  not needed.
>  Modern BI tools provide fine-grain access controls and auditing
>  capabilities to understand how data is being used.  Superset is a
> >> solution
>  that delivers on all of these vectors.
> 
>  The technology stack is also constantly morphing - vendors are
> >> struggling
>  to provide cheap, quick and easy solutions to access data.  Business
>  intelligence users are finding existing solutions lacking as these
>  software
>  products either disregard or react slowly to recent game-changing
>  technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, 
> d3.js,
>  React.js and iPython’s Jupyter for instance.
> 
>  == Rationale ==
>  Business intelligence is more relevant today than at any other point 
> in
>  history.  Organizations are currently very limited in options for 
> open
>  source data visualization solutions, especially solutions that are 
> both
>  self-service and enterprise-ready.  Every company informing their
>  decisions
>  with data needs a BI tool.
> 
>  We believe that Superset will be a strong compliment to existing 
> Apache
>  Software Foundation technologies by offering scalable user 
> interactions
> >> to
>  distributed storage and computation solutions.  Users will often find
> >> that
>  Superset can act as a catalyst for tooling that can visualize the
>  byproduct
>  of data and computation infrastructure.
> 
>  Superset has many key design elements that help fill a gap in current
>  solutions 

Re: [VOTE] Superset Proposal for Apache Incubator

[Jitendra Pandey]

+1 (binding)

On 4/25/17, 1:27 PM, "Julian Hyde"  wrote:

+1 binding

> On Apr 25, 2017, at 12:48 PM, moon soo Lee  wrote:
> 
> +1 (non-binding)
> 
> On Tue, Apr 25, 2017 at 11:49 AM Ashutosh Chauhan 
> wrote:
> 
>> +1 (binding)
>> 
>> Thanks,
>> Ashutosh
>> 
>> On Mon, Apr 24, 2017 at 5:45 AM, Luke Han  wrote:
>> 
>>> +1 binding
>>> 
>>> Love to see Superset to be new incubator project.
>>> 
>>> 
>>> Best Regards!
>>> -
>>> 
>>> Luke Han
>>> 
>>> On Sun, Apr 23, 2017 at 10:53 PM, Jeff Feng  wrote:
>>> 
 Dear Apache Incubator Community,
 
 We have updated the Superset proposal
  (copied below) for
 
 Apache Incubation with an additional mentor (Luke Han -
 luke@apache.org),
 and would like to start a vote thread for acceptance into the 
incubator.
 
 Our team is excited to share Superset with the Apache community and we
 hope
 for the your continued support!
 
 Cheers,
 Jeff & the Superset Team
 
 
 
 
 = Superset =
 
 == Abstract ==
 Superset is an enterprise-ready web application for data exploration,
>> data
 visualization and dashboarding.
 
 == Proposal ==
 Superset is business intelligence (BI) software that helps modern
 organizations visualize and interact with their data. Superset enables
 users explore data from a variety of databases, assemble beautiful
 dashboards and share their findings.  Superset works neatly with all
 modern
 SQL-speaking databases, and integrates with Druid.io to provide
>> real-time,
 interactive, blazing fast data access to large datasets.
 
 == Background ==
 Data is mission critical. To succeed in this era, organizations need to
 provide low-friction, intuitive and interactive access to data. It is
 paramount for knowledge workers to be capable of answering their own
 questions by querying, exploring and visualizing data.
 
 The entire business intelligence industry has pivoted from a model of
 centralized top-down platforms driven by IT organizations to
>> self-service
 analytics and agile workflows by any user.  This shift unblocks
 centralized
 service bottlenecks for creating data visualizations while also 
creating
 an
 environment that is iterative and fast-moving.  This means that 
business
 intelligence software must also be easy and delightful to use.
 Self-service analytics doesn’t mean that admin and governance features
>> are
 not needed.
 Modern BI tools provide fine-grain access controls and auditing
 capabilities to understand how data is being used.  Superset is a
>> solution
 that delivers on all of these vectors.
 
 The technology stack is also constantly morphing - vendors are
>> struggling
 to provide cheap, quick and easy solutions to access data.  Business
 intelligence users are finding existing solutions lacking as these
 software
 products either disregard or react slowly to recent game-changing
 technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, 
d3.js,
 React.js and iPython’s Jupyter for instance.
 
 == Rationale ==
 Business intelligence is more relevant today than at any other point in
 history.  Organizations are currently very limited in options for open
 source data visualization solutions, especially solutions that are both
 self-service and enterprise-ready.  Every company informing their
 decisions
 with data needs a BI tool.
 
 We believe that Superset will be a strong compliment to existing Apache
 Software Foundation technologies by offering scalable user interactions
>> to
 distributed storage and computation solutions.  Users will often find
>> that
 Superset can act as a catalyst for tooling that can visualize the
 byproduct
 of data and computation infrastructure.
 
 Superset has many key design elements that help fill a gap in current
 solutions for organizations:
 * Easy, low friction access to data through a simple, web-based data
 exploration interface.  Composing charts and dashboards are intuitive.
 Eliminating the need to write code or SQL empowers anyone to use it.
 * Access to a wide array of rich, interactive data visualization types.

Re: [VOTE] Superset Proposal for Apache Incubator

[Julian Hyde]

+1 binding

> On Apr 25, 2017, at 12:48 PM, moon soo Lee  wrote:
> 
> +1 (non-binding)
> 
> On Tue, Apr 25, 2017 at 11:49 AM Ashutosh Chauhan 
> wrote:
> 
>> +1 (binding)
>> 
>> Thanks,
>> Ashutosh
>> 
>> On Mon, Apr 24, 2017 at 5:45 AM, Luke Han  wrote:
>> 
>>> +1 binding
>>> 
>>> Love to see Superset to be new incubator project.
>>> 
>>> 
>>> Best Regards!
>>> -
>>> 
>>> Luke Han
>>> 
>>> On Sun, Apr 23, 2017 at 10:53 PM, Jeff Feng  wrote:
>>> 
 Dear Apache Incubator Community,
 
 We have updated the Superset proposal
  (copied below) for
 
 Apache Incubation with an additional mentor (Luke Han -
 luke@apache.org),
 and would like to start a vote thread for acceptance into the incubator.
 
 Our team is excited to share Superset with the Apache community and we
 hope
 for the your continued support!
 
 Cheers,
 Jeff & the Superset Team
 
 
 
 
 = Superset =
 
 == Abstract ==
 Superset is an enterprise-ready web application for data exploration,
>> data
 visualization and dashboarding.
 
 == Proposal ==
 Superset is business intelligence (BI) software that helps modern
 organizations visualize and interact with their data. Superset enables
 users explore data from a variety of databases, assemble beautiful
 dashboards and share their findings.  Superset works neatly with all
 modern
 SQL-speaking databases, and integrates with Druid.io to provide
>> real-time,
 interactive, blazing fast data access to large datasets.
 
 == Background ==
 Data is mission critical. To succeed in this era, organizations need to
 provide low-friction, intuitive and interactive access to data. It is
 paramount for knowledge workers to be capable of answering their own
 questions by querying, exploring and visualizing data.
 
 The entire business intelligence industry has pivoted from a model of
 centralized top-down platforms driven by IT organizations to
>> self-service
 analytics and agile workflows by any user.  This shift unblocks
 centralized
 service bottlenecks for creating data visualizations while also creating
 an
 environment that is iterative and fast-moving.  This means that business
 intelligence software must also be easy and delightful to use.
 Self-service analytics doesn’t mean that admin and governance features
>> are
 not needed.
 Modern BI tools provide fine-grain access controls and auditing
 capabilities to understand how data is being used.  Superset is a
>> solution
 that delivers on all of these vectors.
 
 The technology stack is also constantly morphing - vendors are
>> struggling
 to provide cheap, quick and easy solutions to access data.  Business
 intelligence users are finding existing solutions lacking as these
 software
 products either disregard or react slowly to recent game-changing
 technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
 React.js and iPython’s Jupyter for instance.
 
 == Rationale ==
 Business intelligence is more relevant today than at any other point in
 history.  Organizations are currently very limited in options for open
 source data visualization solutions, especially solutions that are both
 self-service and enterprise-ready.  Every company informing their
 decisions
 with data needs a BI tool.
 
 We believe that Superset will be a strong compliment to existing Apache
 Software Foundation technologies by offering scalable user interactions
>> to
 distributed storage and computation solutions.  Users will often find
>> that
 Superset can act as a catalyst for tooling that can visualize the
 byproduct
 of data and computation infrastructure.
 
 Superset has many key design elements that help fill a gap in current
 solutions for organizations:
 * Easy, low friction access to data through a simple, web-based data
 exploration interface.  Composing charts and dashboards are intuitive.
 Eliminating the need to write code or SQL empowers anyone to use it.
 * Access to a wide array of rich, interactive data visualization types.
 * Enterprise-ready: Integration with different authentication
>> mechanisms
 and granular permissions centered around actions and data access.
 * Realtime & fast: Superset provides realtime analytics at the speed of
 thought on very large datasets when integrated with Druid.io.
 * Broad data access: Consume data out of any SQL-speaking relational
 database.
 * Extensible: Can be extended to talk to many noSQL databases like
>> Apache
 Drill, Elastic Search, and other popular database engines.
 * Fast loading dashboards 

Re: [VOTE] Superset Proposal for Apache Incubator

[moon soo Lee]

+1 (non-binding)

On Tue, Apr 25, 2017 at 11:49 AM Ashutosh Chauhan 
wrote:

> +1 (binding)
>
> Thanks,
> Ashutosh
>
> On Mon, Apr 24, 2017 at 5:45 AM, Luke Han  wrote:
>
> > +1 binding
> >
> > Love to see Superset to be new incubator project.
> >
> >
> > Best Regards!
> > -
> >
> > Luke Han
> >
> > On Sun, Apr 23, 2017 at 10:53 PM, Jeff Feng  wrote:
> >
> >> Dear Apache Incubator Community,
> >>
> >> We have updated the Superset proposal
> >>  (copied below) for
> >>
> >> Apache Incubation with an additional mentor (Luke Han -
> >> luke@apache.org),
> >> and would like to start a vote thread for acceptance into the incubator.
> >>
> >> Our team is excited to share Superset with the Apache community and we
> >> hope
> >> for the your continued support!
> >>
> >> Cheers,
> >> Jeff & the Superset Team
> >>
> >>
> >>
> >>
> >> = Superset =
> >>
> >> == Abstract ==
> >> Superset is an enterprise-ready web application for data exploration,
> data
> >> visualization and dashboarding.
> >>
> >> == Proposal ==
> >> Superset is business intelligence (BI) software that helps modern
> >> organizations visualize and interact with their data. Superset enables
> >> users explore data from a variety of databases, assemble beautiful
> >> dashboards and share their findings.  Superset works neatly with all
> >> modern
> >> SQL-speaking databases, and integrates with Druid.io to provide
> real-time,
> >> interactive, blazing fast data access to large datasets.
> >>
> >> == Background ==
> >> Data is mission critical. To succeed in this era, organizations need to
> >> provide low-friction, intuitive and interactive access to data. It is
> >> paramount for knowledge workers to be capable of answering their own
> >> questions by querying, exploring and visualizing data.
> >>
> >> The entire business intelligence industry has pivoted from a model of
> >> centralized top-down platforms driven by IT organizations to
> self-service
> >> analytics and agile workflows by any user.  This shift unblocks
> >> centralized
> >> service bottlenecks for creating data visualizations while also creating
> >> an
> >> environment that is iterative and fast-moving.  This means that business
> >> intelligence software must also be easy and delightful to use.
> >> Self-service analytics doesn’t mean that admin and governance features
> are
> >> not needed.
> >> Modern BI tools provide fine-grain access controls and auditing
> >> capabilities to understand how data is being used.  Superset is a
> solution
> >> that delivers on all of these vectors.
> >>
> >> The technology stack is also constantly morphing - vendors are
> struggling
> >> to provide cheap, quick and easy solutions to access data.  Business
> >> intelligence users are finding existing solutions lacking as these
> >> software
> >> products either disregard or react slowly to recent game-changing
> >> technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
> >> React.js and iPython’s Jupyter for instance.
> >>
> >> == Rationale ==
> >> Business intelligence is more relevant today than at any other point in
> >> history.  Organizations are currently very limited in options for open
> >> source data visualization solutions, especially solutions that are both
> >> self-service and enterprise-ready.  Every company informing their
> >> decisions
> >> with data needs a BI tool.
> >>
> >> We believe that Superset will be a strong compliment to existing Apache
> >> Software Foundation technologies by offering scalable user interactions
> to
> >> distributed storage and computation solutions.  Users will often find
> that
> >> Superset can act as a catalyst for tooling that can visualize the
> >> byproduct
> >> of data and computation infrastructure.
> >>
> >> Superset has many key design elements that help fill a gap in current
> >> solutions for organizations:
> >>  * Easy, low friction access to data through a simple, web-based data
> >> exploration interface.  Composing charts and dashboards are intuitive.
> >> Eliminating the need to write code or SQL empowers anyone to use it.
> >>  * Access to a wide array of rich, interactive data visualization types.
> >>  * Enterprise-ready: Integration with different authentication
> mechanisms
> >> and granular permissions centered around actions and data access.
> >>  * Realtime & fast: Superset provides realtime analytics at the speed of
> >> thought on very large datasets when integrated with Druid.io.
> >>  * Broad data access: Consume data out of any SQL-speaking relational
> >> database.
> >>  * Extensible: Can be extended to talk to many noSQL databases like
> Apache
> >> Drill, Elastic Search, and other popular database engines.
> >>  * Fast loading dashboards with configurable web-scale caching.
> >>  * Plug-in framework that enables organizations to build custom
> analytical
> >> 

Re: [VOTE] Superset Proposal for Apache Incubator

[Ashutosh Chauhan]

+1 (binding)

Thanks,
Ashutosh

On Mon, Apr 24, 2017 at 5:45 AM, Luke Han  wrote:

> +1 binding
>
> Love to see Superset to be new incubator project.
>
>
> Best Regards!
> -
>
> Luke Han
>
> On Sun, Apr 23, 2017 at 10:53 PM, Jeff Feng  wrote:
>
>> Dear Apache Incubator Community,
>>
>> We have updated the Superset proposal
>>  (copied below) for
>>
>> Apache Incubation with an additional mentor (Luke Han -
>> luke@apache.org),
>> and would like to start a vote thread for acceptance into the incubator.
>>
>> Our team is excited to share Superset with the Apache community and we
>> hope
>> for the your continued support!
>>
>> Cheers,
>> Jeff & the Superset Team
>>
>>
>>
>>
>> = Superset =
>>
>> == Abstract ==
>> Superset is an enterprise-ready web application for data exploration, data
>> visualization and dashboarding.
>>
>> == Proposal ==
>> Superset is business intelligence (BI) software that helps modern
>> organizations visualize and interact with their data. Superset enables
>> users explore data from a variety of databases, assemble beautiful
>> dashboards and share their findings.  Superset works neatly with all
>> modern
>> SQL-speaking databases, and integrates with Druid.io to provide real-time,
>> interactive, blazing fast data access to large datasets.
>>
>> == Background ==
>> Data is mission critical. To succeed in this era, organizations need to
>> provide low-friction, intuitive and interactive access to data. It is
>> paramount for knowledge workers to be capable of answering their own
>> questions by querying, exploring and visualizing data.
>>
>> The entire business intelligence industry has pivoted from a model of
>> centralized top-down platforms driven by IT organizations to self-service
>> analytics and agile workflows by any user.  This shift unblocks
>> centralized
>> service bottlenecks for creating data visualizations while also creating
>> an
>> environment that is iterative and fast-moving.  This means that business
>> intelligence software must also be easy and delightful to use.
>> Self-service analytics doesn’t mean that admin and governance features are
>> not needed.
>> Modern BI tools provide fine-grain access controls and auditing
>> capabilities to understand how data is being used.  Superset is a solution
>> that delivers on all of these vectors.
>>
>> The technology stack is also constantly morphing - vendors are struggling
>> to provide cheap, quick and easy solutions to access data.  Business
>> intelligence users are finding existing solutions lacking as these
>> software
>> products either disregard or react slowly to recent game-changing
>> technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
>> React.js and iPython’s Jupyter for instance.
>>
>> == Rationale ==
>> Business intelligence is more relevant today than at any other point in
>> history.  Organizations are currently very limited in options for open
>> source data visualization solutions, especially solutions that are both
>> self-service and enterprise-ready.  Every company informing their
>> decisions
>> with data needs a BI tool.
>>
>> We believe that Superset will be a strong compliment to existing Apache
>> Software Foundation technologies by offering scalable user interactions to
>> distributed storage and computation solutions.  Users will often find that
>> Superset can act as a catalyst for tooling that can visualize the
>> byproduct
>> of data and computation infrastructure.
>>
>> Superset has many key design elements that help fill a gap in current
>> solutions for organizations:
>>  * Easy, low friction access to data through a simple, web-based data
>> exploration interface.  Composing charts and dashboards are intuitive.
>> Eliminating the need to write code or SQL empowers anyone to use it.
>>  * Access to a wide array of rich, interactive data visualization types.
>>  * Enterprise-ready: Integration with different authentication mechanisms
>> and granular permissions centered around actions and data access.
>>  * Realtime & fast: Superset provides realtime analytics at the speed of
>> thought on very large datasets when integrated with Druid.io.
>>  * Broad data access: Consume data out of any SQL-speaking relational
>> database.
>>  * Extensible: Can be extended to talk to many noSQL databases like Apache
>> Drill, Elastic Search, and other popular database engines.
>>  * Fast loading dashboards with configurable web-scale caching.
>>  * Plug-in framework that enables organizations to build custom analytical
>> applications with new UI/UX interfaces.
>>  * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking users
>> with more flexibility.  SQL Lab integrates with the visualization engine
>> seamlessly.
>>
>> == Initial Goals ==
>> The initial goals of the Superset project are several-fold:
>>  * Move the existing codebase to Apache and 

Re: [VOTE] Superset Proposal for Apache Incubator

[Luke Han]

+1 binding

Love to see Superset to be new incubator project.


Best Regards!
-

Luke Han

On Sun, Apr 23, 2017 at 10:53 PM, Jeff Feng  wrote:

> Dear Apache Incubator Community,
>
> We have updated the Superset proposal
>  (copied below) for
> Apache Incubation with an additional mentor (Luke Han -
> luke@apache.org),
> and would like to start a vote thread for acceptance into the incubator.
>
> Our team is excited to share Superset with the Apache community and we hope
> for the your continued support!
>
> Cheers,
> Jeff & the Superset Team
>
>
>
>
> = Superset =
>
> == Abstract ==
> Superset is an enterprise-ready web application for data exploration, data
> visualization and dashboarding.
>
> == Proposal ==
> Superset is business intelligence (BI) software that helps modern
> organizations visualize and interact with their data. Superset enables
> users explore data from a variety of databases, assemble beautiful
> dashboards and share their findings.  Superset works neatly with all modern
> SQL-speaking databases, and integrates with Druid.io to provide real-time,
> interactive, blazing fast data access to large datasets.
>
> == Background ==
> Data is mission critical. To succeed in this era, organizations need to
> provide low-friction, intuitive and interactive access to data. It is
> paramount for knowledge workers to be capable of answering their own
> questions by querying, exploring and visualizing data.
>
> The entire business intelligence industry has pivoted from a model of
> centralized top-down platforms driven by IT organizations to self-service
> analytics and agile workflows by any user.  This shift unblocks centralized
> service bottlenecks for creating data visualizations while also creating an
> environment that is iterative and fast-moving.  This means that business
> intelligence software must also be easy and delightful to use.
> Self-service analytics doesn’t mean that admin and governance features are
> not needed.
> Modern BI tools provide fine-grain access controls and auditing
> capabilities to understand how data is being used.  Superset is a solution
> that delivers on all of these vectors.
>
> The technology stack is also constantly morphing - vendors are struggling
> to provide cheap, quick and easy solutions to access data.  Business
> intelligence users are finding existing solutions lacking as these software
> products either disregard or react slowly to recent game-changing
> technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
> React.js and iPython’s Jupyter for instance.
>
> == Rationale ==
> Business intelligence is more relevant today than at any other point in
> history.  Organizations are currently very limited in options for open
> source data visualization solutions, especially solutions that are both
> self-service and enterprise-ready.  Every company informing their decisions
> with data needs a BI tool.
>
> We believe that Superset will be a strong compliment to existing Apache
> Software Foundation technologies by offering scalable user interactions to
> distributed storage and computation solutions.  Users will often find that
> Superset can act as a catalyst for tooling that can visualize the byproduct
> of data and computation infrastructure.
>
> Superset has many key design elements that help fill a gap in current
> solutions for organizations:
>  * Easy, low friction access to data through a simple, web-based data
> exploration interface.  Composing charts and dashboards are intuitive.
> Eliminating the need to write code or SQL empowers anyone to use it.
>  * Access to a wide array of rich, interactive data visualization types.
>  * Enterprise-ready: Integration with different authentication mechanisms
> and granular permissions centered around actions and data access.
>  * Realtime & fast: Superset provides realtime analytics at the speed of
> thought on very large datasets when integrated with Druid.io.
>  * Broad data access: Consume data out of any SQL-speaking relational
> database.
>  * Extensible: Can be extended to talk to many noSQL databases like Apache
> Drill, Elastic Search, and other popular database engines.
>  * Fast loading dashboards with configurable web-scale caching.
>  * Plug-in framework that enables organizations to build custom analytical
> applications with new UI/UX interfaces.
>  * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking users
> with more flexibility.  SQL Lab integrates with the visualization engine
> seamlessly.
>
> == Initial Goals ==
> The initial goals of the Superset project are several-fold:
>  * Move the existing codebase to Apache and integrate with the Apache
> development process.
>  * Redesign the user interface and interaction model for creating
> visualizations/dashboards and connecting to data sources
>  * Build robust support for security and governance of the tool 

[VOTE] Superset Proposal for Apache Incubator

[Jeff Feng]

Dear Apache Incubator Community,

We have updated the Superset proposal
 (copied below) for
Apache Incubation with an additional mentor (Luke Han - luke@apache.org),
and would like to start a vote thread for acceptance into the incubator.

Our team is excited to share Superset with the Apache community and we hope
for the your continued support!

Cheers,
Jeff & the Superset Team




= Superset =

== Abstract ==
Superset is an enterprise-ready web application for data exploration, data
visualization and dashboarding.

== Proposal ==
Superset is business intelligence (BI) software that helps modern
organizations visualize and interact with their data. Superset enables
users explore data from a variety of databases, assemble beautiful
dashboards and share their findings.  Superset works neatly with all modern
SQL-speaking databases, and integrates with Druid.io to provide real-time,
interactive, blazing fast data access to large datasets.

== Background ==
Data is mission critical. To succeed in this era, organizations need to
provide low-friction, intuitive and interactive access to data. It is
paramount for knowledge workers to be capable of answering their own
questions by querying, exploring and visualizing data.

The entire business intelligence industry has pivoted from a model of
centralized top-down platforms driven by IT organizations to self-service
analytics and agile workflows by any user.  This shift unblocks centralized
service bottlenecks for creating data visualizations while also creating an
environment that is iterative and fast-moving.  This means that business
intelligence software must also be easy and delightful to use.
Self-service analytics doesn’t mean that admin and governance features are
not needed.
Modern BI tools provide fine-grain access controls and auditing
capabilities to understand how data is being used.  Superset is a solution
that delivers on all of these vectors.

The technology stack is also constantly morphing - vendors are struggling
to provide cheap, quick and easy solutions to access data.  Business
intelligence users are finding existing solutions lacking as these software
products either disregard or react slowly to recent game-changing
technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
React.js and iPython’s Jupyter for instance.

== Rationale ==
Business intelligence is more relevant today than at any other point in
history.  Organizations are currently very limited in options for open
source data visualization solutions, especially solutions that are both
self-service and enterprise-ready.  Every company informing their decisions
with data needs a BI tool.

We believe that Superset will be a strong compliment to existing Apache
Software Foundation technologies by offering scalable user interactions to
distributed storage and computation solutions.  Users will often find that
Superset can act as a catalyst for tooling that can visualize the byproduct
of data and computation infrastructure.

Superset has many key design elements that help fill a gap in current
solutions for organizations:
 * Easy, low friction access to data through a simple, web-based data
exploration interface.  Composing charts and dashboards are intuitive.
Eliminating the need to write code or SQL empowers anyone to use it.
 * Access to a wide array of rich, interactive data visualization types.
 * Enterprise-ready: Integration with different authentication mechanisms
and granular permissions centered around actions and data access.
 * Realtime & fast: Superset provides realtime analytics at the speed of
thought on very large datasets when integrated with Druid.io.
 * Broad data access: Consume data out of any SQL-speaking relational
database.
 * Extensible: Can be extended to talk to many noSQL databases like Apache
Drill, Elastic Search, and other popular database engines.
 * Fast loading dashboards with configurable web-scale caching.
 * Plug-in framework that enables organizations to build custom analytical
applications with new UI/UX interfaces.
 * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking users
with more flexibility.  SQL Lab integrates with the visualization engine
seamlessly.

== Initial Goals ==
The initial goals of the Superset project are several-fold:
 * Move the existing codebase to Apache and integrate with the Apache
development process.
 * Redesign the user interface and interaction model for creating
visualizations/dashboards and connecting to data sources
 * Build robust support for security and governance of the tool including
popular authorization modules (including Apache Ranger and Apache Sentry)
and a more sophisticated permissions system
 * Grow the extensibility of the project both in terms of enhanced
connectivity to NoSQL-based data sources and creating a plug-in framework
that enables organizations to build custom analytical applications which
require a new UI/UX

==