Re: [VOTE] Accept Pinot into Apache Incubator

[Dave Fisher]

Here’s to a fine fermentation of Pinot.

+1

Regards,
Dave

Sent from my iPhone

> On Oct 15, 2018, at 5:56 PM, Roman Shaposhnik  wrote:
> 
> Sorry for the belated reply -- was on a trip to China.
> 
> Yes, I'd love to be added as a mentor.
> 
> And, FWIW +1 on the proposal ;-)
> 
> Thanks,
> Roman.
>> On Sun, Oct 14, 2018 at 11:23 PM kishore g  wrote:
>> 
>> 72 hours have passed and the vote for accepting Pinot into Apache Incubator
>> has passed with:
>> 
>> 5 binding "+1" votes
>> 2 non-binding "+1" votes
>> No "0" or "-1" votes
>> 
>> Binding Votes
>> 
>>   - Olivier Lamy
>>   - Carl Steinbach
>>   - Julian Hyde
>>   - William Jiang
>>   - Kevin A McGrail
>> 
>> 
>> non-binding votes
>> 
>>   - Pierre Smits
>>   - Felix Cheung
>> 
>> 
>> thanks,
>> Kishore G
>> 
>>> On Sat, Oct 13, 2018 at 5:00 PM kishore g  wrote:
>>> 
>>> Thanks Justin. Would love to have Roman as the mentor. I will close the
>>> vote and start the process.
>>> 
 On Sat, Oct 13, 2018 at 3:31 PM Justin Mclean  wrote:
 
 Hi,
 
> Justin, I haven’t heard from anyone. We have Oliver and Jean so far. I
 can
> sign up as a mentor if it’s must. I will be involved with the project
> anyway.
 
 I spoke to Roman and he is interested in being a mentor, he is currently
 travelling so probably hasn’t had a chance to respond. He can be added
 after the vote, assuming you want him as a mentor  for your project.
 
 Thanks,
 Justin
 -
 To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org
 For additional commands, e-mail: general-h...@incubator.apache.org
 
 
> 
> -
> To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org
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> 


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Re: [VOTE] Accept Pinot into Apache Incubator

[Roman Shaposhnik]

Sorry for the belated reply -- was on a trip to China.

Yes, I'd love to be added as a mentor.

And, FWIW +1 on the proposal ;-)

Thanks,
Roman.
On Sun, Oct 14, 2018 at 11:23 PM kishore g  wrote:
>
> 72 hours have passed and the vote for accepting Pinot into Apache Incubator
> has passed with:
>
> 5 binding "+1" votes
> 2 non-binding "+1" votes
> No "0" or "-1" votes
>
> Binding Votes
>
>- Olivier Lamy
>- Carl Steinbach
>- Julian Hyde
>- William Jiang
>- Kevin A McGrail
>
>
> non-binding votes
>
>- Pierre Smits
>- Felix Cheung
>
>
> thanks,
> Kishore G
>
> On Sat, Oct 13, 2018 at 5:00 PM kishore g  wrote:
>
> > Thanks Justin. Would love to have Roman as the mentor. I will close the
> > vote and start the process.
> >
> > On Sat, Oct 13, 2018 at 3:31 PM Justin Mclean  wrote:
> >
> >> Hi,
> >>
> >> > Justin, I haven’t heard from anyone. We have Oliver and Jean so far. I
> >> can
> >> > sign up as a mentor if it’s must. I will be involved with the project
> >> > anyway.
> >>
> >> I spoke to Roman and he is interested in being a mentor, he is currently
> >> travelling so probably hasn’t had a chance to respond. He can be added
> >> after the vote, assuming you want him as a mentor  for your project.
> >>
> >> Thanks,
> >> Justin
> >> -
> >> To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org
> >> For additional commands, e-mail: general-h...@incubator.apache.org
> >>
> >>

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Re: [VOTE] Accept Pinot into Apache Incubator

[kishore g]

72 hours have passed and the vote for accepting Pinot into Apache Incubator
has passed with:

5 binding "+1" votes
2 non-binding "+1" votes
No "0" or "-1" votes

Binding Votes

   - Olivier Lamy
   - Carl Steinbach
   - Julian Hyde
   - William Jiang
   - Kevin A McGrail


non-binding votes

   - Pierre Smits
   - Felix Cheung


thanks,
Kishore G

On Sat, Oct 13, 2018 at 5:00 PM kishore g  wrote:

> Thanks Justin. Would love to have Roman as the mentor. I will close the
> vote and start the process.
>
> On Sat, Oct 13, 2018 at 3:31 PM Justin Mclean  wrote:
>
>> Hi,
>>
>> > Justin, I haven’t heard from anyone. We have Oliver and Jean so far. I
>> can
>> > sign up as a mentor if it’s must. I will be involved with the project
>> > anyway.
>>
>> I spoke to Roman and he is interested in being a mentor, he is currently
>> travelling so probably hasn’t had a chance to respond. He can be added
>> after the vote, assuming you want him as a mentor  for your project.
>>
>> Thanks,
>> Justin
>> -
>> To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org
>> For additional commands, e-mail: general-h...@incubator.apache.org
>>
>>

Re: [VOTE] Accept Pinot into Apache Incubator

[kishore g]

Thanks Justin. Would love to have Roman as the mentor. I will close the
vote and start the process.

On Sat, Oct 13, 2018 at 3:31 PM Justin Mclean  wrote:

> Hi,
>
> > Justin, I haven’t heard from anyone. We have Oliver and Jean so far. I
> can
> > sign up as a mentor if it’s must. I will be involved with the project
> > anyway.
>
> I spoke to Roman and he is interested in being a mentor, he is currently
> travelling so probably hasn’t had a chance to respond. He can be added
> after the vote, assuming you want him as a mentor  for your project.
>
> Thanks,
> Justin
> -
> To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org
> For additional commands, e-mail: general-h...@incubator.apache.org
>
>

Re: [VOTE] Accept Pinot into Apache Incubator

[Justin Mclean]

Hi,

> Justin, I haven’t heard from anyone. We have Oliver and Jean so far. I can
> sign up as a mentor if it’s must. I will be involved with the project
> anyway.

I spoke to Roman and he is interested in being a mentor, he is currently 
travelling so probably hasn’t had a chance to respond. He can be added after 
the vote, assuming you want him as a mentor  for your project.

Thanks,
Justin
-
To unsubscribe, e-mail: general-unsubscr...@incubator.apache.org
For additional commands, e-mail: general-h...@incubator.apache.org

Re: [VOTE] Accept Pinot into Apache Incubator

[kishore g]

Justin, I haven’t heard from anyone. We have Oliver and Jean so far. I can
sign up as a mentor if it’s must. I will be involved with the project
anyway.

On Fri, Oct 12, 2018 at 9:29 PM kishore g  wrote:

> Thanks Justin.
>
> On Fri, Oct 12, 2018 at 6:08 PM Justin Mclean 
> wrote:
>
>> Hi,
>>
>> And I think I've found one for you. He'll reply here a little later.
>>
>> Thanks,
>> Justin
>>
>> On Sat., 13 Oct. 2018, 8:30 am Justin Mclean, 
>> wrote:
>>
>> > Hi,
>> >
>> > I'd like to see another mentor being added before calling a vote.
>> >
>> > Thanks,
>> > Justin
>> >
>> > On Sat., 13 Oct. 2018, 8:26 am kishore g,  wrote:
>> >
>> >> Hi,
>> >>
>> >> Want to revive this thread. Can I go ahead and close the vote and start
>> >> the
>> >> incubation process or should I start a new thread?
>> >>
>> >> thanks,
>> >> Kishore G
>> >>
>> >> On Wed, Mar 21, 2018 at 6:47 PM Olivier Lamy  wrote:
>> >>
>> >> > Hi
>> >> > @Kishore I guess we have enough votes so maybe we can close the vote
>> and
>> >> > start the process?
>> >> >
>> >> >
>> >> > On Wed, 14 Mar 2018 at 02:06, Kevin A. McGrail 
>> >> > wrote:
>> >> >
>> >> > > +1 binding.  Apologies if this is a dupe.  I thought I voted days
>> ago.
>> >> > >
>> >> > > On Mar 9, 2018 02:11, "kishore g"  wrote:
>> >> > >
>> >> > > > Hi all,
>> >> > > >
>> >> > > > I would like to call a VOTE to accept Pinot into the Apache
>> >> Incubator.
>> >> > > The
>> >> > > > full proposal is available on the wiki
>> >> > > > 
>> >> > > >
>> >> > > > Please cast your vote:
>> >> > > >
>> >> > > >   [ ] +1, bring Pinot into Incubator
>> >> > > >   [ ] +0, I don't care either way,
>> >> > > >   [ ] -1, do not bring Pinot into Incubator, because...
>> >> > > >
>> >> > > > The vote will open at least for 72 hours and only votes from the
>> >> > > Incubator
>> >> > > > PMC are binding.
>> >> > > >
>> >> > > > Thanks,
>> >> > > > Kishore G
>> >> > > >
>> >> > > > Discussion thread:
>> >> > > >
>> https://lists.apache.org/thread.html/8119f9478ea1811371f1bf6685290b
>> >> > > > 22b57b1a3e0849d1d778d77dcb@%3Cgeneral.incubator.apache.org
>> >> > > >
>> >> > > >
>> >> > > > = Pinot Proposal =
>> >> > > >
>> >> > > > == Abstract ==
>> >> > > >
>> >> > > > Pinot is a distributed columnar storage engine that can ingest
>> data
>> >> in
>> >> > > > real-time and serve analytical queries at low latency. There are
>> two
>> >> > > modes
>> >> > > > of data ingestion - batch and/or realtime. Batch mode allows
>> users
>> >> to
>> >> > > > generate pinot segments externally using systems such as Hadoop.
>> >> These
>> >> > > > segments can be uploaded into Pinot via simple curl calls. Pinot
>> can
>> >> > > ingest
>> >> > > > data in near real-time from streaming sources such as Kafka. Data
>> >> > > ingested
>> >> > > > into Pinot is stored in a columnar format. Pinot provides a SQL
>> like
>> >> > > > interface (PQL) that supports filters, aggregations, and group by
>> >> > > > operations. It does not support joins by design, in order to
>> >> guarantee
>> >> > > > predictable latency. It leverages other Apache projects such as
>> >> > > Zookeeper,
>> >> > > > Kafka, and Helix, along with many libraries from the ASF.
>> >> > > >
>> >> > > > == Proposal ==
>> >> > > >
>> >> > > > Pinot was open sourced by LinkedIn and hosted on GitHub.
>> Majority of
>> >> > the
>> >> > > > development happens at LinkedIn with other contributions from
>> Uber
>> >> and
>> >> > > > Slack. We believe that being a part of Apache Software Foundation
>> >> will
>> >> > > > improve the diversity and help form a strong community around the
>> >> > > project.
>> >> > > >
>> >> > > > LinkedIn submits this proposal to donate the code base to Apache
>> >> > Software
>> >> > > > Foundation. The code is already under Apache License 2.0.  Code
>> and
>> >> the
>> >> > > > documentation are hosted on Github.
>> >> > > >  * Code: http://github.com/linkedin/pinot
>> >> > > >  * Documentation: https://github.com/linkedin/pinot/wiki
>> >> > > >
>> >> > > >
>> >> > > > == Background ==
>> >> > > >
>> >> > > > LinkedIn, similar to other companies, has many applications that
>> >> > provide
>> >> > > > rich real-time insights to members and customers (internal and
>> >> > external).
>> >> > > > The workload characteristics for these applications vary a lot.
>> Some
>> >> > > > internal applications simply need ad-hoc query capabilities with
>> >> > > sub-second
>> >> > > > to multiple seconds latency. But external site facing
>> applications
>> >> > > require
>> >> > > > strong SLA even very high workloads. Prior to Pinot, LinkedIn had
>> >> > > multiple
>> >> > > > solutions depending on the workload generated by the application
>> and
>> >> > this
>> >> > > > was inefficient. Pinot was developed to be the one single
>> platform
>> >> that
>> >> > > > addresses all classes of applications. Today at LinkedIn, Pinot
>> >> powers
>> >> > > more
>> >> > > > than 50 site facing products with 

Re: [VOTE] Accept Pinot into Apache Incubator

[kishore g]

Thanks Justin.

On Fri, Oct 12, 2018 at 6:08 PM Justin Mclean 
wrote:

> Hi,
>
> And I think I've found one for you. He'll reply here a little later.
>
> Thanks,
> Justin
>
> On Sat., 13 Oct. 2018, 8:30 am Justin Mclean, 
> wrote:
>
> > Hi,
> >
> > I'd like to see another mentor being added before calling a vote.
> >
> > Thanks,
> > Justin
> >
> > On Sat., 13 Oct. 2018, 8:26 am kishore g,  wrote:
> >
> >> Hi,
> >>
> >> Want to revive this thread. Can I go ahead and close the vote and start
> >> the
> >> incubation process or should I start a new thread?
> >>
> >> thanks,
> >> Kishore G
> >>
> >> On Wed, Mar 21, 2018 at 6:47 PM Olivier Lamy  wrote:
> >>
> >> > Hi
> >> > @Kishore I guess we have enough votes so maybe we can close the vote
> and
> >> > start the process?
> >> >
> >> >
> >> > On Wed, 14 Mar 2018 at 02:06, Kevin A. McGrail 
> >> > wrote:
> >> >
> >> > > +1 binding.  Apologies if this is a dupe.  I thought I voted days
> ago.
> >> > >
> >> > > On Mar 9, 2018 02:11, "kishore g"  wrote:
> >> > >
> >> > > > Hi all,
> >> > > >
> >> > > > I would like to call a VOTE to accept Pinot into the Apache
> >> Incubator.
> >> > > The
> >> > > > full proposal is available on the wiki
> >> > > > 
> >> > > >
> >> > > > Please cast your vote:
> >> > > >
> >> > > >   [ ] +1, bring Pinot into Incubator
> >> > > >   [ ] +0, I don't care either way,
> >> > > >   [ ] -1, do not bring Pinot into Incubator, because...
> >> > > >
> >> > > > The vote will open at least for 72 hours and only votes from the
> >> > > Incubator
> >> > > > PMC are binding.
> >> > > >
> >> > > > Thanks,
> >> > > > Kishore G
> >> > > >
> >> > > > Discussion thread:
> >> > > >
> https://lists.apache.org/thread.html/8119f9478ea1811371f1bf6685290b
> >> > > > 22b57b1a3e0849d1d778d77dcb@%3Cgeneral.incubator.apache.org
> >> > > >
> >> > > >
> >> > > > = Pinot Proposal =
> >> > > >
> >> > > > == Abstract ==
> >> > > >
> >> > > > Pinot is a distributed columnar storage engine that can ingest
> data
> >> in
> >> > > > real-time and serve analytical queries at low latency. There are
> two
> >> > > modes
> >> > > > of data ingestion - batch and/or realtime. Batch mode allows users
> >> to
> >> > > > generate pinot segments externally using systems such as Hadoop.
> >> These
> >> > > > segments can be uploaded into Pinot via simple curl calls. Pinot
> can
> >> > > ingest
> >> > > > data in near real-time from streaming sources such as Kafka. Data
> >> > > ingested
> >> > > > into Pinot is stored in a columnar format. Pinot provides a SQL
> like
> >> > > > interface (PQL) that supports filters, aggregations, and group by
> >> > > > operations. It does not support joins by design, in order to
> >> guarantee
> >> > > > predictable latency. It leverages other Apache projects such as
> >> > > Zookeeper,
> >> > > > Kafka, and Helix, along with many libraries from the ASF.
> >> > > >
> >> > > > == Proposal ==
> >> > > >
> >> > > > Pinot was open sourced by LinkedIn and hosted on GitHub. Majority
> of
> >> > the
> >> > > > development happens at LinkedIn with other contributions from Uber
> >> and
> >> > > > Slack. We believe that being a part of Apache Software Foundation
> >> will
> >> > > > improve the diversity and help form a strong community around the
> >> > > project.
> >> > > >
> >> > > > LinkedIn submits this proposal to donate the code base to Apache
> >> > Software
> >> > > > Foundation. The code is already under Apache License 2.0.  Code
> and
> >> the
> >> > > > documentation are hosted on Github.
> >> > > >  * Code: http://github.com/linkedin/pinot
> >> > > >  * Documentation: https://github.com/linkedin/pinot/wiki
> >> > > >
> >> > > >
> >> > > > == Background ==
> >> > > >
> >> > > > LinkedIn, similar to other companies, has many applications that
> >> > provide
> >> > > > rich real-time insights to members and customers (internal and
> >> > external).
> >> > > > The workload characteristics for these applications vary a lot.
> Some
> >> > > > internal applications simply need ad-hoc query capabilities with
> >> > > sub-second
> >> > > > to multiple seconds latency. But external site facing applications
> >> > > require
> >> > > > strong SLA even very high workloads. Prior to Pinot, LinkedIn had
> >> > > multiple
> >> > > > solutions depending on the workload generated by the application
> and
> >> > this
> >> > > > was inefficient. Pinot was developed to be the one single platform
> >> that
> >> > > > addresses all classes of applications. Today at LinkedIn, Pinot
> >> powers
> >> > > more
> >> > > > than 50 site facing products with workload ranging from few
> queries
> >> per
> >> > > > second to 1000’s of queries per second while maintaining the 99th
> >> > > > percentile latency which can be as low as few milliseconds. All
> >> > internal
> >> > > > dashboards at LinkedIn are powered by Pinot.
> >> > > >
> >> > > > == Rationale ==
> >> > > >
> >> > > > We believe that requirement to develop 

Re: [VOTE] Accept Pinot into Apache Incubator

[Justin Mclean]

Hi,

And I think I've found one for you. He'll reply here a little later.

Thanks,
Justin

On Sat., 13 Oct. 2018, 8:30 am Justin Mclean, 
wrote:

> Hi,
>
> I'd like to see another mentor being added before calling a vote.
>
> Thanks,
> Justin
>
> On Sat., 13 Oct. 2018, 8:26 am kishore g,  wrote:
>
>> Hi,
>>
>> Want to revive this thread. Can I go ahead and close the vote and start
>> the
>> incubation process or should I start a new thread?
>>
>> thanks,
>> Kishore G
>>
>> On Wed, Mar 21, 2018 at 6:47 PM Olivier Lamy  wrote:
>>
>> > Hi
>> > @Kishore I guess we have enough votes so maybe we can close the vote and
>> > start the process?
>> >
>> >
>> > On Wed, 14 Mar 2018 at 02:06, Kevin A. McGrail 
>> > wrote:
>> >
>> > > +1 binding.  Apologies if this is a dupe.  I thought I voted days ago.
>> > >
>> > > On Mar 9, 2018 02:11, "kishore g"  wrote:
>> > >
>> > > > Hi all,
>> > > >
>> > > > I would like to call a VOTE to accept Pinot into the Apache
>> Incubator.
>> > > The
>> > > > full proposal is available on the wiki
>> > > > 
>> > > >
>> > > > Please cast your vote:
>> > > >
>> > > >   [ ] +1, bring Pinot into Incubator
>> > > >   [ ] +0, I don't care either way,
>> > > >   [ ] -1, do not bring Pinot into Incubator, because...
>> > > >
>> > > > The vote will open at least for 72 hours and only votes from the
>> > > Incubator
>> > > > PMC are binding.
>> > > >
>> > > > Thanks,
>> > > > Kishore G
>> > > >
>> > > > Discussion thread:
>> > > > https://lists.apache.org/thread.html/8119f9478ea1811371f1bf6685290b
>> > > > 22b57b1a3e0849d1d778d77dcb@%3Cgeneral.incubator.apache.org
>> > > >
>> > > >
>> > > > = Pinot Proposal =
>> > > >
>> > > > == Abstract ==
>> > > >
>> > > > Pinot is a distributed columnar storage engine that can ingest data
>> in
>> > > > real-time and serve analytical queries at low latency. There are two
>> > > modes
>> > > > of data ingestion - batch and/or realtime. Batch mode allows users
>> to
>> > > > generate pinot segments externally using systems such as Hadoop.
>> These
>> > > > segments can be uploaded into Pinot via simple curl calls. Pinot can
>> > > ingest
>> > > > data in near real-time from streaming sources such as Kafka. Data
>> > > ingested
>> > > > into Pinot is stored in a columnar format. Pinot provides a SQL like
>> > > > interface (PQL) that supports filters, aggregations, and group by
>> > > > operations. It does not support joins by design, in order to
>> guarantee
>> > > > predictable latency. It leverages other Apache projects such as
>> > > Zookeeper,
>> > > > Kafka, and Helix, along with many libraries from the ASF.
>> > > >
>> > > > == Proposal ==
>> > > >
>> > > > Pinot was open sourced by LinkedIn and hosted on GitHub. Majority of
>> > the
>> > > > development happens at LinkedIn with other contributions from Uber
>> and
>> > > > Slack. We believe that being a part of Apache Software Foundation
>> will
>> > > > improve the diversity and help form a strong community around the
>> > > project.
>> > > >
>> > > > LinkedIn submits this proposal to donate the code base to Apache
>> > Software
>> > > > Foundation. The code is already under Apache License 2.0.  Code and
>> the
>> > > > documentation are hosted on Github.
>> > > >  * Code: http://github.com/linkedin/pinot
>> > > >  * Documentation: https://github.com/linkedin/pinot/wiki
>> > > >
>> > > >
>> > > > == Background ==
>> > > >
>> > > > LinkedIn, similar to other companies, has many applications that
>> > provide
>> > > > rich real-time insights to members and customers (internal and
>> > external).
>> > > > The workload characteristics for these applications vary a lot. Some
>> > > > internal applications simply need ad-hoc query capabilities with
>> > > sub-second
>> > > > to multiple seconds latency. But external site facing applications
>> > > require
>> > > > strong SLA even very high workloads. Prior to Pinot, LinkedIn had
>> > > multiple
>> > > > solutions depending on the workload generated by the application and
>> > this
>> > > > was inefficient. Pinot was developed to be the one single platform
>> that
>> > > > addresses all classes of applications. Today at LinkedIn, Pinot
>> powers
>> > > more
>> > > > than 50 site facing products with workload ranging from few queries
>> per
>> > > > second to 1000’s of queries per second while maintaining the 99th
>> > > > percentile latency which can be as low as few milliseconds. All
>> > internal
>> > > > dashboards at LinkedIn are powered by Pinot.
>> > > >
>> > > > == Rationale ==
>> > > >
>> > > > We believe that requirement to develop rich real-time analytic
>> > > applications
>> > > > is applicable to other organizations. Both Pinot and the interested
>> > > > communities would benefit from this work being openly available.
>> > > >
>> > > > == Current Status ==
>> > > >
>> > > > Pinot is currently open sourced under the Apache License Version 2.0
>> > and
>> > > > available at 

Re: [VOTE] Accept Pinot into Apache Incubator

[Justin Mclean]

Hi,

I'd like to see another mentor being added before calling a vote.

Thanks,
Justin

On Sat., 13 Oct. 2018, 8:26 am kishore g,  wrote:

> Hi,
>
> Want to revive this thread. Can I go ahead and close the vote and start the
> incubation process or should I start a new thread?
>
> thanks,
> Kishore G
>
> On Wed, Mar 21, 2018 at 6:47 PM Olivier Lamy  wrote:
>
> > Hi
> > @Kishore I guess we have enough votes so maybe we can close the vote and
> > start the process?
> >
> >
> > On Wed, 14 Mar 2018 at 02:06, Kevin A. McGrail 
> > wrote:
> >
> > > +1 binding.  Apologies if this is a dupe.  I thought I voted days ago.
> > >
> > > On Mar 9, 2018 02:11, "kishore g"  wrote:
> > >
> > > > Hi all,
> > > >
> > > > I would like to call a VOTE to accept Pinot into the Apache
> Incubator.
> > > The
> > > > full proposal is available on the wiki
> > > > 
> > > >
> > > > Please cast your vote:
> > > >
> > > >   [ ] +1, bring Pinot into Incubator
> > > >   [ ] +0, I don't care either way,
> > > >   [ ] -1, do not bring Pinot into Incubator, because...
> > > >
> > > > The vote will open at least for 72 hours and only votes from the
> > > Incubator
> > > > PMC are binding.
> > > >
> > > > Thanks,
> > > > Kishore G
> > > >
> > > > Discussion thread:
> > > > https://lists.apache.org/thread.html/8119f9478ea1811371f1bf6685290b
> > > > 22b57b1a3e0849d1d778d77dcb@%3Cgeneral.incubator.apache.org
> > > >
> > > >
> > > > = Pinot Proposal =
> > > >
> > > > == Abstract ==
> > > >
> > > > Pinot is a distributed columnar storage engine that can ingest data
> in
> > > > real-time and serve analytical queries at low latency. There are two
> > > modes
> > > > of data ingestion - batch and/or realtime. Batch mode allows users to
> > > > generate pinot segments externally using systems such as Hadoop.
> These
> > > > segments can be uploaded into Pinot via simple curl calls. Pinot can
> > > ingest
> > > > data in near real-time from streaming sources such as Kafka. Data
> > > ingested
> > > > into Pinot is stored in a columnar format. Pinot provides a SQL like
> > > > interface (PQL) that supports filters, aggregations, and group by
> > > > operations. It does not support joins by design, in order to
> guarantee
> > > > predictable latency. It leverages other Apache projects such as
> > > Zookeeper,
> > > > Kafka, and Helix, along with many libraries from the ASF.
> > > >
> > > > == Proposal ==
> > > >
> > > > Pinot was open sourced by LinkedIn and hosted on GitHub. Majority of
> > the
> > > > development happens at LinkedIn with other contributions from Uber
> and
> > > > Slack. We believe that being a part of Apache Software Foundation
> will
> > > > improve the diversity and help form a strong community around the
> > > project.
> > > >
> > > > LinkedIn submits this proposal to donate the code base to Apache
> > Software
> > > > Foundation. The code is already under Apache License 2.0.  Code and
> the
> > > > documentation are hosted on Github.
> > > >  * Code: http://github.com/linkedin/pinot
> > > >  * Documentation: https://github.com/linkedin/pinot/wiki
> > > >
> > > >
> > > > == Background ==
> > > >
> > > > LinkedIn, similar to other companies, has many applications that
> > provide
> > > > rich real-time insights to members and customers (internal and
> > external).
> > > > The workload characteristics for these applications vary a lot. Some
> > > > internal applications simply need ad-hoc query capabilities with
> > > sub-second
> > > > to multiple seconds latency. But external site facing applications
> > > require
> > > > strong SLA even very high workloads. Prior to Pinot, LinkedIn had
> > > multiple
> > > > solutions depending on the workload generated by the application and
> > this
> > > > was inefficient. Pinot was developed to be the one single platform
> that
> > > > addresses all classes of applications. Today at LinkedIn, Pinot
> powers
> > > more
> > > > than 50 site facing products with workload ranging from few queries
> per
> > > > second to 1000’s of queries per second while maintaining the 99th
> > > > percentile latency which can be as low as few milliseconds. All
> > internal
> > > > dashboards at LinkedIn are powered by Pinot.
> > > >
> > > > == Rationale ==
> > > >
> > > > We believe that requirement to develop rich real-time analytic
> > > applications
> > > > is applicable to other organizations. Both Pinot and the interested
> > > > communities would benefit from this work being openly available.
> > > >
> > > > == Current Status ==
> > > >
> > > > Pinot is currently open sourced under the Apache License Version 2.0
> > and
> > > > available at github.com/linkedin/pinot. All the development is done
> > > using
> > > > GitHub Pull Requests. We cut releases on a weekly basis and deploy it
> > at
> > > > LinkedIn. mp-0.1.468 is the latest release tag that is deployed in
> > > > production.
> > > >
> > > > == Meritocracy ==
> > > >
> > > > Following the Apache 

Re: [VOTE] Accept Pinot into Apache Incubator

[kishore g]

Hi,

Want to revive this thread. Can I go ahead and close the vote and start the
incubation process or should I start a new thread?

thanks,
Kishore G

On Wed, Mar 21, 2018 at 6:47 PM Olivier Lamy  wrote:

> Hi
> @Kishore I guess we have enough votes so maybe we can close the vote and
> start the process?
>
>
> On Wed, 14 Mar 2018 at 02:06, Kevin A. McGrail 
> wrote:
>
> > +1 binding.  Apologies if this is a dupe.  I thought I voted days ago.
> >
> > On Mar 9, 2018 02:11, "kishore g"  wrote:
> >
> > > Hi all,
> > >
> > > I would like to call a VOTE to accept Pinot into the Apache Incubator.
> > The
> > > full proposal is available on the wiki
> > > 
> > >
> > > Please cast your vote:
> > >
> > >   [ ] +1, bring Pinot into Incubator
> > >   [ ] +0, I don't care either way,
> > >   [ ] -1, do not bring Pinot into Incubator, because...
> > >
> > > The vote will open at least for 72 hours and only votes from the
> > Incubator
> > > PMC are binding.
> > >
> > > Thanks,
> > > Kishore G
> > >
> > > Discussion thread:
> > > https://lists.apache.org/thread.html/8119f9478ea1811371f1bf6685290b
> > > 22b57b1a3e0849d1d778d77dcb@%3Cgeneral.incubator.apache.org
> > >
> > >
> > > = Pinot Proposal =
> > >
> > > == Abstract ==
> > >
> > > Pinot is a distributed columnar storage engine that can ingest data in
> > > real-time and serve analytical queries at low latency. There are two
> > modes
> > > of data ingestion - batch and/or realtime. Batch mode allows users to
> > > generate pinot segments externally using systems such as Hadoop. These
> > > segments can be uploaded into Pinot via simple curl calls. Pinot can
> > ingest
> > > data in near real-time from streaming sources such as Kafka. Data
> > ingested
> > > into Pinot is stored in a columnar format. Pinot provides a SQL like
> > > interface (PQL) that supports filters, aggregations, and group by
> > > operations. It does not support joins by design, in order to guarantee
> > > predictable latency. It leverages other Apache projects such as
> > Zookeeper,
> > > Kafka, and Helix, along with many libraries from the ASF.
> > >
> > > == Proposal ==
> > >
> > > Pinot was open sourced by LinkedIn and hosted on GitHub. Majority of
> the
> > > development happens at LinkedIn with other contributions from Uber and
> > > Slack. We believe that being a part of Apache Software Foundation will
> > > improve the diversity and help form a strong community around the
> > project.
> > >
> > > LinkedIn submits this proposal to donate the code base to Apache
> Software
> > > Foundation. The code is already under Apache License 2.0.  Code and the
> > > documentation are hosted on Github.
> > >  * Code: http://github.com/linkedin/pinot
> > >  * Documentation: https://github.com/linkedin/pinot/wiki
> > >
> > >
> > > == Background ==
> > >
> > > LinkedIn, similar to other companies, has many applications that
> provide
> > > rich real-time insights to members and customers (internal and
> external).
> > > The workload characteristics for these applications vary a lot. Some
> > > internal applications simply need ad-hoc query capabilities with
> > sub-second
> > > to multiple seconds latency. But external site facing applications
> > require
> > > strong SLA even very high workloads. Prior to Pinot, LinkedIn had
> > multiple
> > > solutions depending on the workload generated by the application and
> this
> > > was inefficient. Pinot was developed to be the one single platform that
> > > addresses all classes of applications. Today at LinkedIn, Pinot powers
> > more
> > > than 50 site facing products with workload ranging from few queries per
> > > second to 1000’s of queries per second while maintaining the 99th
> > > percentile latency which can be as low as few milliseconds. All
> internal
> > > dashboards at LinkedIn are powered by Pinot.
> > >
> > > == Rationale ==
> > >
> > > We believe that requirement to develop rich real-time analytic
> > applications
> > > is applicable to other organizations. Both Pinot and the interested
> > > communities would benefit from this work being openly available.
> > >
> > > == Current Status ==
> > >
> > > Pinot is currently open sourced under the Apache License Version 2.0
> and
> > > available at github.com/linkedin/pinot. All the development is done
> > using
> > > GitHub Pull Requests. We cut releases on a weekly basis and deploy it
> at
> > > LinkedIn. mp-0.1.468 is the latest release tag that is deployed in
> > > production.
> > >
> > > == Meritocracy ==
> > >
> > > Following the Apache meritocracy model, we intend to build an open and
> > > diverse community around Pinot. We will encourage the community to
> > > contribute to discussion and codebase.
> > >
> > > == Community ==
> > >
> > > Pinot is currently used extensively at LinkedIn and Uber. Several
> > companies
> > > have expressed interest in the project. We hope to extend the
> contributor
> > > base significantly by bringing Pinot 

Re: [VOTE] Accept Pinot into Apache Incubator

[Olivier Lamy]

Hi
@Kishore I guess we have enough votes so maybe we can close the vote and
start the process?


On Wed, 14 Mar 2018 at 02:06, Kevin A. McGrail  wrote:

> +1 binding.  Apologies if this is a dupe.  I thought I voted days ago.
>
> On Mar 9, 2018 02:11, "kishore g"  wrote:
>
> > Hi all,
> >
> > I would like to call a VOTE to accept Pinot into the Apache Incubator.
> The
> > full proposal is available on the wiki
> > 
> >
> > Please cast your vote:
> >
> >   [ ] +1, bring Pinot into Incubator
> >   [ ] +0, I don't care either way,
> >   [ ] -1, do not bring Pinot into Incubator, because...
> >
> > The vote will open at least for 72 hours and only votes from the
> Incubator
> > PMC are binding.
> >
> > Thanks,
> > Kishore G
> >
> > Discussion thread:
> > https://lists.apache.org/thread.html/8119f9478ea1811371f1bf6685290b
> > 22b57b1a3e0849d1d778d77dcb@%3Cgeneral.incubator.apache.org
> >
> >
> > = Pinot Proposal =
> >
> > == Abstract ==
> >
> > Pinot is a distributed columnar storage engine that can ingest data in
> > real-time and serve analytical queries at low latency. There are two
> modes
> > of data ingestion - batch and/or realtime. Batch mode allows users to
> > generate pinot segments externally using systems such as Hadoop. These
> > segments can be uploaded into Pinot via simple curl calls. Pinot can
> ingest
> > data in near real-time from streaming sources such as Kafka. Data
> ingested
> > into Pinot is stored in a columnar format. Pinot provides a SQL like
> > interface (PQL) that supports filters, aggregations, and group by
> > operations. It does not support joins by design, in order to guarantee
> > predictable latency. It leverages other Apache projects such as
> Zookeeper,
> > Kafka, and Helix, along with many libraries from the ASF.
> >
> > == Proposal ==
> >
> > Pinot was open sourced by LinkedIn and hosted on GitHub. Majority of the
> > development happens at LinkedIn with other contributions from Uber and
> > Slack. We believe that being a part of Apache Software Foundation will
> > improve the diversity and help form a strong community around the
> project.
> >
> > LinkedIn submits this proposal to donate the code base to Apache Software
> > Foundation. The code is already under Apache License 2.0.  Code and the
> > documentation are hosted on Github.
> >  * Code: http://github.com/linkedin/pinot
> >  * Documentation: https://github.com/linkedin/pinot/wiki
> >
> >
> > == Background ==
> >
> > LinkedIn, similar to other companies, has many applications that provide
> > rich real-time insights to members and customers (internal and external).
> > The workload characteristics for these applications vary a lot. Some
> > internal applications simply need ad-hoc query capabilities with
> sub-second
> > to multiple seconds latency. But external site facing applications
> require
> > strong SLA even very high workloads. Prior to Pinot, LinkedIn had
> multiple
> > solutions depending on the workload generated by the application and this
> > was inefficient. Pinot was developed to be the one single platform that
> > addresses all classes of applications. Today at LinkedIn, Pinot powers
> more
> > than 50 site facing products with workload ranging from few queries per
> > second to 1000’s of queries per second while maintaining the 99th
> > percentile latency which can be as low as few milliseconds. All internal
> > dashboards at LinkedIn are powered by Pinot.
> >
> > == Rationale ==
> >
> > We believe that requirement to develop rich real-time analytic
> applications
> > is applicable to other organizations. Both Pinot and the interested
> > communities would benefit from this work being openly available.
> >
> > == Current Status ==
> >
> > Pinot is currently open sourced under the Apache License Version 2.0 and
> > available at github.com/linkedin/pinot. All the development is done
> using
> > GitHub Pull Requests. We cut releases on a weekly basis and deploy it at
> > LinkedIn. mp-0.1.468 is the latest release tag that is deployed in
> > production.
> >
> > == Meritocracy ==
> >
> > Following the Apache meritocracy model, we intend to build an open and
> > diverse community around Pinot. We will encourage the community to
> > contribute to discussion and codebase.
> >
> > == Community ==
> >
> > Pinot is currently used extensively at LinkedIn and Uber. Several
> companies
> > have expressed interest in the project. We hope to extend the contributor
> > base significantly by bringing Pinot into Apache.
> >
> > == Core Developers ==
> >
> > Pinot was started by engineers at LinkedIn, and now has committers from
> > Uber.
> >
> > == Alignment ==
> >
> > Apache is the most natural home for taking Pinot forward. Pinot leverages
> > several existing Apache Projects such as Kafka, Helix, Zookeeper, and
> Avro.
> > As Pinot gains adoption, we plan to add support for the ORC and Parquet
> > formats, as well as 

Re: [VOTE] Accept Pinot into Apache Incubator

[Kevin A. McGrail]

+1 binding.  Apologies if this is a dupe.  I thought I voted days ago.

On Mar 9, 2018 02:11, "kishore g"  wrote:

> Hi all,
>
> I would like to call a VOTE to accept Pinot into the Apache Incubator. The
> full proposal is available on the wiki
> 
>
> Please cast your vote:
>
>   [ ] +1, bring Pinot into Incubator
>   [ ] +0, I don't care either way,
>   [ ] -1, do not bring Pinot into Incubator, because...
>
> The vote will open at least for 72 hours and only votes from the Incubator
> PMC are binding.
>
> Thanks,
> Kishore G
>
> Discussion thread:
> https://lists.apache.org/thread.html/8119f9478ea1811371f1bf6685290b
> 22b57b1a3e0849d1d778d77dcb@%3Cgeneral.incubator.apache.org
>
>
> = Pinot Proposal =
>
> == Abstract ==
>
> Pinot is a distributed columnar storage engine that can ingest data in
> real-time and serve analytical queries at low latency. There are two modes
> of data ingestion - batch and/or realtime. Batch mode allows users to
> generate pinot segments externally using systems such as Hadoop. These
> segments can be uploaded into Pinot via simple curl calls. Pinot can ingest
> data in near real-time from streaming sources such as Kafka. Data ingested
> into Pinot is stored in a columnar format. Pinot provides a SQL like
> interface (PQL) that supports filters, aggregations, and group by
> operations. It does not support joins by design, in order to guarantee
> predictable latency. It leverages other Apache projects such as Zookeeper,
> Kafka, and Helix, along with many libraries from the ASF.
>
> == Proposal ==
>
> Pinot was open sourced by LinkedIn and hosted on GitHub. Majority of the
> development happens at LinkedIn with other contributions from Uber and
> Slack. We believe that being a part of Apache Software Foundation will
> improve the diversity and help form a strong community around the project.
>
> LinkedIn submits this proposal to donate the code base to Apache Software
> Foundation. The code is already under Apache License 2.0.  Code and the
> documentation are hosted on Github.
>  * Code: http://github.com/linkedin/pinot
>  * Documentation: https://github.com/linkedin/pinot/wiki
>
>
> == Background ==
>
> LinkedIn, similar to other companies, has many applications that provide
> rich real-time insights to members and customers (internal and external).
> The workload characteristics for these applications vary a lot. Some
> internal applications simply need ad-hoc query capabilities with sub-second
> to multiple seconds latency. But external site facing applications require
> strong SLA even very high workloads. Prior to Pinot, LinkedIn had multiple
> solutions depending on the workload generated by the application and this
> was inefficient. Pinot was developed to be the one single platform that
> addresses all classes of applications. Today at LinkedIn, Pinot powers more
> than 50 site facing products with workload ranging from few queries per
> second to 1000’s of queries per second while maintaining the 99th
> percentile latency which can be as low as few milliseconds. All internal
> dashboards at LinkedIn are powered by Pinot.
>
> == Rationale ==
>
> We believe that requirement to develop rich real-time analytic applications
> is applicable to other organizations. Both Pinot and the interested
> communities would benefit from this work being openly available.
>
> == Current Status ==
>
> Pinot is currently open sourced under the Apache License Version 2.0 and
> available at github.com/linkedin/pinot. All the development is done using
> GitHub Pull Requests. We cut releases on a weekly basis and deploy it at
> LinkedIn. mp-0.1.468 is the latest release tag that is deployed in
> production.
>
> == Meritocracy ==
>
> Following the Apache meritocracy model, we intend to build an open and
> diverse community around Pinot. We will encourage the community to
> contribute to discussion and codebase.
>
> == Community ==
>
> Pinot is currently used extensively at LinkedIn and Uber. Several companies
> have expressed interest in the project. We hope to extend the contributor
> base significantly by bringing Pinot into Apache.
>
> == Core Developers ==
>
> Pinot was started by engineers at LinkedIn, and now has committers from
> Uber.
>
> == Alignment ==
>
> Apache is the most natural home for taking Pinot forward. Pinot leverages
> several existing Apache Projects such as Kafka, Helix, Zookeeper, and Avro.
> As Pinot gains adoption, we plan to add support for the ORC and Parquet
> formats, as well as adding integration with Yarn and Mesos.
>
> == Known Risks ==
>
> === Orphaned Products ===
>
> The risk of the Pinot project being abandoned is minimal. The teams at
> LinkedIn and Uber are highly incentivized to continue development of Pinot
> as it is a critical part of their infrastructure.
>
> === Inexperience with Open Source ===
>
> Post open sourcing, Pinot was completely developed on GitHub. All the
> current 

Re: [VOTE] Accept Pinot into Apache Incubator

[Felix Cheung]

+1

On Sun, Mar 11, 2018 at 5:34 AM Willem Jiang  wrote:

> +1 (binding)
>
>
> Willem Jiang
>
> Blog: http://willemjiang.blogspot.com (English)
>   http://jnn.iteye.com  (Chinese)
> Twitter: willemjiang
> Weibo: 姜宁willem
>
> On Sun, Mar 11, 2018 at 7:51 PM, Pierre Smits 
> wrote:
>
> > +1
> >
> >
> >
> > Best regards,
> >
> > Pierre Smits
> >
> > V.P. Apache Trafodion
> >
> > On Sun, Mar 11, 2018 at 12:59 AM, Julian Hyde  wrote:
> >
> > > +1 (binding)
> > >
> > > Ironic that Druid — a similar project — has just entered incubation
> too.
> > > But of course that is not a conflict. Both are great projects. Good
> luck!
> > >
> > > Julian
> > >
> > >
> > > > On Mar 9, 2018, at 7:37 PM, Carl Steinbach  wrote:
> > > >
> > > > +1 (binding)
> > > >
> > > > On Fri, Mar 9, 2018, 7:29 PM kishore g  wrote:
> > > >
> > > >> Added Jim Jagielski to the mentor's list.
> > > >>
> > > >> On Fri, Mar 9, 2018 at 6:35 PM, Olivier Lamy 
> > wrote:
> > > >>
> > > >>> +1
> > > >>>
> > > >>> On 9 March 2018 at 17:11, kishore g  wrote:
> > > >>>
> > >  Hi all,
> > > 
> > >  I would like to call a VOTE to accept Pinot into the Apache
> > Incubator.
> > > >>> The
> > >  full proposal is available on the wiki
> > >  
> > > 
> > >  Please cast your vote:
> > > 
> > >   [ ] +1, bring Pinot into Incubator
> > >   [ ] +0, I don't care either way,
> > >   [ ] -1, do not bring Pinot into Incubator, because...
> > > 
> > >  The vote will open at least for 72 hours and only votes from the
> > > >>> Incubator
> > >  PMC are binding.
> > > 
> > >  Thanks,
> > >  Kishore G
> > > 
> > >  Discussion thread:
> > > 
> https://lists.apache.org/thread.html/8119f9478ea1811371f1bf6685290b
> > >  22b57b1a3e0849d1d778d77dcb@%3Cgeneral.incubator.apache.org
> > > 
> > > 
> > >  = Pinot Proposal =
> > > 
> > >  == Abstract ==
> > > 
> > >  Pinot is a distributed columnar storage engine that can ingest
> data
> > in
> > >  real-time and serve analytical queries at low latency. There are
> two
> > > >>> modes
> > >  of data ingestion - batch and/or realtime. Batch mode allows users
> > to
> > >  generate pinot segments externally using systems such as Hadoop.
> > These
> > >  segments can be uploaded into Pinot via simple curl calls. Pinot
> can
> > > >>> ingest
> > >  data in near real-time from streaming sources such as Kafka. Data
> > > >>> ingested
> > >  into Pinot is stored in a columnar format. Pinot provides a SQL
> like
> > >  interface (PQL) that supports filters, aggregations, and group by
> > >  operations. It does not support joins by design, in order to
> > guarantee
> > >  predictable latency. It leverages other Apache projects such as
> > > >>> Zookeeper,
> > >  Kafka, and Helix, along with many libraries from the ASF.
> > > 
> > >  == Proposal ==
> > > 
> > >  Pinot was open sourced by LinkedIn and hosted on GitHub. Majority
> of
> > > >> the
> > >  development happens at LinkedIn with other contributions from Uber
> > and
> > >  Slack. We believe that being a part of Apache Software Foundation
> > will
> > >  improve the diversity and help form a strong community around the
> > > >>> project.
> > > 
> > >  LinkedIn submits this proposal to donate the code base to Apache
> > > >> Software
> > >  Foundation. The code is already under Apache License 2.0.  Code
> and
> > > the
> > >  documentation are hosted on Github.
> > >  * Code: http://github.com/linkedin/pinot
> > >  * Documentation: https://github.com/linkedin/pinot/wiki
> > > 
> > > 
> > >  == Background ==
> > > 
> > >  LinkedIn, similar to other companies, has many applications that
> > > >> provide
> > >  rich real-time insights to members and customers (internal and
> > > >> external).
> > >  The workload characteristics for these applications vary a lot.
> Some
> > >  internal applications simply need ad-hoc query capabilities with
> > > >>> sub-second
> > >  to multiple seconds latency. But external site facing applications
> > > >>> require
> > >  strong SLA even very high workloads. Prior to Pinot, LinkedIn had
> > > >>> multiple
> > >  solutions depending on the workload generated by the application
> and
> > > >> this
> > >  was inefficient. Pinot was developed to be the one single platform
> > > that
> > >  addresses all classes of applications. Today at LinkedIn, Pinot
> > powers
> > > >>> more
> > >  than 50 site facing products with workload ranging from few
> queries
> > > per
> > >  second to 1000’s of queries per second while maintaining the 99th
> > >  percentile latency which can be as low as few 

Re: [VOTE] Accept Pinot into Apache Incubator

[Willem Jiang]

+1 (binding)


Willem Jiang

Blog: http://willemjiang.blogspot.com (English)
  http://jnn.iteye.com  (Chinese)
Twitter: willemjiang
Weibo: 姜宁willem

On Sun, Mar 11, 2018 at 7:51 PM, Pierre Smits 
wrote:

> +1
>
>
>
> Best regards,
>
> Pierre Smits
>
> V.P. Apache Trafodion
>
> On Sun, Mar 11, 2018 at 12:59 AM, Julian Hyde  wrote:
>
> > +1 (binding)
> >
> > Ironic that Druid — a similar project — has just entered incubation too.
> > But of course that is not a conflict. Both are great projects. Good luck!
> >
> > Julian
> >
> >
> > > On Mar 9, 2018, at 7:37 PM, Carl Steinbach  wrote:
> > >
> > > +1 (binding)
> > >
> > > On Fri, Mar 9, 2018, 7:29 PM kishore g  wrote:
> > >
> > >> Added Jim Jagielski to the mentor's list.
> > >>
> > >> On Fri, Mar 9, 2018 at 6:35 PM, Olivier Lamy 
> wrote:
> > >>
> > >>> +1
> > >>>
> > >>> On 9 March 2018 at 17:11, kishore g  wrote:
> > >>>
> >  Hi all,
> > 
> >  I would like to call a VOTE to accept Pinot into the Apache
> Incubator.
> > >>> The
> >  full proposal is available on the wiki
> >  
> > 
> >  Please cast your vote:
> > 
> >   [ ] +1, bring Pinot into Incubator
> >   [ ] +0, I don't care either way,
> >   [ ] -1, do not bring Pinot into Incubator, because...
> > 
> >  The vote will open at least for 72 hours and only votes from the
> > >>> Incubator
> >  PMC are binding.
> > 
> >  Thanks,
> >  Kishore G
> > 
> >  Discussion thread:
> >  https://lists.apache.org/thread.html/8119f9478ea1811371f1bf6685290b
> >  22b57b1a3e0849d1d778d77dcb@%3Cgeneral.incubator.apache.org
> > 
> > 
> >  = Pinot Proposal =
> > 
> >  == Abstract ==
> > 
> >  Pinot is a distributed columnar storage engine that can ingest data
> in
> >  real-time and serve analytical queries at low latency. There are two
> > >>> modes
> >  of data ingestion - batch and/or realtime. Batch mode allows users
> to
> >  generate pinot segments externally using systems such as Hadoop.
> These
> >  segments can be uploaded into Pinot via simple curl calls. Pinot can
> > >>> ingest
> >  data in near real-time from streaming sources such as Kafka. Data
> > >>> ingested
> >  into Pinot is stored in a columnar format. Pinot provides a SQL like
> >  interface (PQL) that supports filters, aggregations, and group by
> >  operations. It does not support joins by design, in order to
> guarantee
> >  predictable latency. It leverages other Apache projects such as
> > >>> Zookeeper,
> >  Kafka, and Helix, along with many libraries from the ASF.
> > 
> >  == Proposal ==
> > 
> >  Pinot was open sourced by LinkedIn and hosted on GitHub. Majority of
> > >> the
> >  development happens at LinkedIn with other contributions from Uber
> and
> >  Slack. We believe that being a part of Apache Software Foundation
> will
> >  improve the diversity and help form a strong community around the
> > >>> project.
> > 
> >  LinkedIn submits this proposal to donate the code base to Apache
> > >> Software
> >  Foundation. The code is already under Apache License 2.0.  Code and
> > the
> >  documentation are hosted on Github.
> >  * Code: http://github.com/linkedin/pinot
> >  * Documentation: https://github.com/linkedin/pinot/wiki
> > 
> > 
> >  == Background ==
> > 
> >  LinkedIn, similar to other companies, has many applications that
> > >> provide
> >  rich real-time insights to members and customers (internal and
> > >> external).
> >  The workload characteristics for these applications vary a lot. Some
> >  internal applications simply need ad-hoc query capabilities with
> > >>> sub-second
> >  to multiple seconds latency. But external site facing applications
> > >>> require
> >  strong SLA even very high workloads. Prior to Pinot, LinkedIn had
> > >>> multiple
> >  solutions depending on the workload generated by the application and
> > >> this
> >  was inefficient. Pinot was developed to be the one single platform
> > that
> >  addresses all classes of applications. Today at LinkedIn, Pinot
> powers
> > >>> more
> >  than 50 site facing products with workload ranging from few queries
> > per
> >  second to 1000’s of queries per second while maintaining the 99th
> >  percentile latency which can be as low as few milliseconds. All
> > >> internal
> >  dashboards at LinkedIn are powered by Pinot.
> > 
> >  == Rationale ==
> > 
> >  We believe that requirement to develop rich real-time analytic
> > >>> applications
> >  is applicable to other organizations. Both Pinot and the interested
> >  communities would benefit from this work being openly available.
> > 
> >  == 

Re: [VOTE] Accept Pinot into Apache Incubator

[Pierre Smits]

+1



Best regards,

Pierre Smits

V.P. Apache Trafodion

On Sun, Mar 11, 2018 at 12:59 AM, Julian Hyde  wrote:

> +1 (binding)
>
> Ironic that Druid — a similar project — has just entered incubation too.
> But of course that is not a conflict. Both are great projects. Good luck!
>
> Julian
>
>
> > On Mar 9, 2018, at 7:37 PM, Carl Steinbach  wrote:
> >
> > +1 (binding)
> >
> > On Fri, Mar 9, 2018, 7:29 PM kishore g  wrote:
> >
> >> Added Jim Jagielski to the mentor's list.
> >>
> >> On Fri, Mar 9, 2018 at 6:35 PM, Olivier Lamy  wrote:
> >>
> >>> +1
> >>>
> >>> On 9 March 2018 at 17:11, kishore g  wrote:
> >>>
>  Hi all,
> 
>  I would like to call a VOTE to accept Pinot into the Apache Incubator.
> >>> The
>  full proposal is available on the wiki
>  
> 
>  Please cast your vote:
> 
>   [ ] +1, bring Pinot into Incubator
>   [ ] +0, I don't care either way,
>   [ ] -1, do not bring Pinot into Incubator, because...
> 
>  The vote will open at least for 72 hours and only votes from the
> >>> Incubator
>  PMC are binding.
> 
>  Thanks,
>  Kishore G
> 
>  Discussion thread:
>  https://lists.apache.org/thread.html/8119f9478ea1811371f1bf6685290b
>  22b57b1a3e0849d1d778d77dcb@%3Cgeneral.incubator.apache.org
> 
> 
>  = Pinot Proposal =
> 
>  == Abstract ==
> 
>  Pinot is a distributed columnar storage engine that can ingest data in
>  real-time and serve analytical queries at low latency. There are two
> >>> modes
>  of data ingestion - batch and/or realtime. Batch mode allows users to
>  generate pinot segments externally using systems such as Hadoop. These
>  segments can be uploaded into Pinot via simple curl calls. Pinot can
> >>> ingest
>  data in near real-time from streaming sources such as Kafka. Data
> >>> ingested
>  into Pinot is stored in a columnar format. Pinot provides a SQL like
>  interface (PQL) that supports filters, aggregations, and group by
>  operations. It does not support joins by design, in order to guarantee
>  predictable latency. It leverages other Apache projects such as
> >>> Zookeeper,
>  Kafka, and Helix, along with many libraries from the ASF.
> 
>  == Proposal ==
> 
>  Pinot was open sourced by LinkedIn and hosted on GitHub. Majority of
> >> the
>  development happens at LinkedIn with other contributions from Uber and
>  Slack. We believe that being a part of Apache Software Foundation will
>  improve the diversity and help form a strong community around the
> >>> project.
> 
>  LinkedIn submits this proposal to donate the code base to Apache
> >> Software
>  Foundation. The code is already under Apache License 2.0.  Code and
> the
>  documentation are hosted on Github.
>  * Code: http://github.com/linkedin/pinot
>  * Documentation: https://github.com/linkedin/pinot/wiki
> 
> 
>  == Background ==
> 
>  LinkedIn, similar to other companies, has many applications that
> >> provide
>  rich real-time insights to members and customers (internal and
> >> external).
>  The workload characteristics for these applications vary a lot. Some
>  internal applications simply need ad-hoc query capabilities with
> >>> sub-second
>  to multiple seconds latency. But external site facing applications
> >>> require
>  strong SLA even very high workloads. Prior to Pinot, LinkedIn had
> >>> multiple
>  solutions depending on the workload generated by the application and
> >> this
>  was inefficient. Pinot was developed to be the one single platform
> that
>  addresses all classes of applications. Today at LinkedIn, Pinot powers
> >>> more
>  than 50 site facing products with workload ranging from few queries
> per
>  second to 1000’s of queries per second while maintaining the 99th
>  percentile latency which can be as low as few milliseconds. All
> >> internal
>  dashboards at LinkedIn are powered by Pinot.
> 
>  == Rationale ==
> 
>  We believe that requirement to develop rich real-time analytic
> >>> applications
>  is applicable to other organizations. Both Pinot and the interested
>  communities would benefit from this work being openly available.
> 
>  == Current Status ==
> 
>  Pinot is currently open sourced under the Apache License Version 2.0
> >> and
>  available at github.com/linkedin/pinot. All the development is done
> >>> using
>  GitHub Pull Requests. We cut releases on a weekly basis and deploy it
> >> at
>  LinkedIn. mp-0.1.468 is the latest release tag that is deployed in
>  production.
> 
>  == Meritocracy ==
> 
>  Following the Apache meritocracy model, we intend to build an open and
>  diverse 

Re: [VOTE] Accept Pinot into Apache Incubator

[Julian Hyde]

+1 (binding)

Ironic that Druid — a similar project — has just entered incubation too. But of 
course that is not a conflict. Both are great projects. Good luck!

Julian


> On Mar 9, 2018, at 7:37 PM, Carl Steinbach  wrote:
> 
> +1 (binding)
> 
> On Fri, Mar 9, 2018, 7:29 PM kishore g  wrote:
> 
>> Added Jim Jagielski to the mentor's list.
>> 
>> On Fri, Mar 9, 2018 at 6:35 PM, Olivier Lamy  wrote:
>> 
>>> +1
>>> 
>>> On 9 March 2018 at 17:11, kishore g  wrote:
>>> 
 Hi all,
 
 I would like to call a VOTE to accept Pinot into the Apache Incubator.
>>> The
 full proposal is available on the wiki
 
 
 Please cast your vote:
 
  [ ] +1, bring Pinot into Incubator
  [ ] +0, I don't care either way,
  [ ] -1, do not bring Pinot into Incubator, because...
 
 The vote will open at least for 72 hours and only votes from the
>>> Incubator
 PMC are binding.
 
 Thanks,
 Kishore G
 
 Discussion thread:
 https://lists.apache.org/thread.html/8119f9478ea1811371f1bf6685290b
 22b57b1a3e0849d1d778d77dcb@%3Cgeneral.incubator.apache.org
 
 
 = Pinot Proposal =
 
 == Abstract ==
 
 Pinot is a distributed columnar storage engine that can ingest data in
 real-time and serve analytical queries at low latency. There are two
>>> modes
 of data ingestion - batch and/or realtime. Batch mode allows users to
 generate pinot segments externally using systems such as Hadoop. These
 segments can be uploaded into Pinot via simple curl calls. Pinot can
>>> ingest
 data in near real-time from streaming sources such as Kafka. Data
>>> ingested
 into Pinot is stored in a columnar format. Pinot provides a SQL like
 interface (PQL) that supports filters, aggregations, and group by
 operations. It does not support joins by design, in order to guarantee
 predictable latency. It leverages other Apache projects such as
>>> Zookeeper,
 Kafka, and Helix, along with many libraries from the ASF.
 
 == Proposal ==
 
 Pinot was open sourced by LinkedIn and hosted on GitHub. Majority of
>> the
 development happens at LinkedIn with other contributions from Uber and
 Slack. We believe that being a part of Apache Software Foundation will
 improve the diversity and help form a strong community around the
>>> project.
 
 LinkedIn submits this proposal to donate the code base to Apache
>> Software
 Foundation. The code is already under Apache License 2.0.  Code and the
 documentation are hosted on Github.
 * Code: http://github.com/linkedin/pinot
 * Documentation: https://github.com/linkedin/pinot/wiki
 
 
 == Background ==
 
 LinkedIn, similar to other companies, has many applications that
>> provide
 rich real-time insights to members and customers (internal and
>> external).
 The workload characteristics for these applications vary a lot. Some
 internal applications simply need ad-hoc query capabilities with
>>> sub-second
 to multiple seconds latency. But external site facing applications
>>> require
 strong SLA even very high workloads. Prior to Pinot, LinkedIn had
>>> multiple
 solutions depending on the workload generated by the application and
>> this
 was inefficient. Pinot was developed to be the one single platform that
 addresses all classes of applications. Today at LinkedIn, Pinot powers
>>> more
 than 50 site facing products with workload ranging from few queries per
 second to 1000’s of queries per second while maintaining the 99th
 percentile latency which can be as low as few milliseconds. All
>> internal
 dashboards at LinkedIn are powered by Pinot.
 
 == Rationale ==
 
 We believe that requirement to develop rich real-time analytic
>>> applications
 is applicable to other organizations. Both Pinot and the interested
 communities would benefit from this work being openly available.
 
 == Current Status ==
 
 Pinot is currently open sourced under the Apache License Version 2.0
>> and
 available at github.com/linkedin/pinot. All the development is done
>>> using
 GitHub Pull Requests. We cut releases on a weekly basis and deploy it
>> at
 LinkedIn. mp-0.1.468 is the latest release tag that is deployed in
 production.
 
 == Meritocracy ==
 
 Following the Apache meritocracy model, we intend to build an open and
 diverse community around Pinot. We will encourage the community to
 contribute to discussion and codebase.
 
 == Community ==
 
 Pinot is currently used extensively at LinkedIn and Uber. Several
>>> companies
 have expressed interest in the project. We hope to extend the
>> contributor
 base significantly by bringing Pinot into Apache.
 

Re: [VOTE] Accept Pinot into Apache Incubator

[Carl Steinbach]

+1 (binding)

On Fri, Mar 9, 2018, 7:29 PM kishore g  wrote:

> Added Jim Jagielski to the mentor's list.
>
> On Fri, Mar 9, 2018 at 6:35 PM, Olivier Lamy  wrote:
>
> > +1
> >
> > On 9 March 2018 at 17:11, kishore g  wrote:
> >
> > > Hi all,
> > >
> > > I would like to call a VOTE to accept Pinot into the Apache Incubator.
> > The
> > > full proposal is available on the wiki
> > > 
> > >
> > > Please cast your vote:
> > >
> > >   [ ] +1, bring Pinot into Incubator
> > >   [ ] +0, I don't care either way,
> > >   [ ] -1, do not bring Pinot into Incubator, because...
> > >
> > > The vote will open at least for 72 hours and only votes from the
> > Incubator
> > > PMC are binding.
> > >
> > > Thanks,
> > > Kishore G
> > >
> > > Discussion thread:
> > > https://lists.apache.org/thread.html/8119f9478ea1811371f1bf6685290b
> > > 22b57b1a3e0849d1d778d77dcb@%3Cgeneral.incubator.apache.org
> > >
> > >
> > > = Pinot Proposal =
> > >
> > > == Abstract ==
> > >
> > > Pinot is a distributed columnar storage engine that can ingest data in
> > > real-time and serve analytical queries at low latency. There are two
> > modes
> > > of data ingestion - batch and/or realtime. Batch mode allows users to
> > > generate pinot segments externally using systems such as Hadoop. These
> > > segments can be uploaded into Pinot via simple curl calls. Pinot can
> > ingest
> > > data in near real-time from streaming sources such as Kafka. Data
> > ingested
> > > into Pinot is stored in a columnar format. Pinot provides a SQL like
> > > interface (PQL) that supports filters, aggregations, and group by
> > > operations. It does not support joins by design, in order to guarantee
> > > predictable latency. It leverages other Apache projects such as
> > Zookeeper,
> > > Kafka, and Helix, along with many libraries from the ASF.
> > >
> > > == Proposal ==
> > >
> > > Pinot was open sourced by LinkedIn and hosted on GitHub. Majority of
> the
> > > development happens at LinkedIn with other contributions from Uber and
> > > Slack. We believe that being a part of Apache Software Foundation will
> > > improve the diversity and help form a strong community around the
> > project.
> > >
> > > LinkedIn submits this proposal to donate the code base to Apache
> Software
> > > Foundation. The code is already under Apache License 2.0.  Code and the
> > > documentation are hosted on Github.
> > >  * Code: http://github.com/linkedin/pinot
> > >  * Documentation: https://github.com/linkedin/pinot/wiki
> > >
> > >
> > > == Background ==
> > >
> > > LinkedIn, similar to other companies, has many applications that
> provide
> > > rich real-time insights to members and customers (internal and
> external).
> > > The workload characteristics for these applications vary a lot. Some
> > > internal applications simply need ad-hoc query capabilities with
> > sub-second
> > > to multiple seconds latency. But external site facing applications
> > require
> > > strong SLA even very high workloads. Prior to Pinot, LinkedIn had
> > multiple
> > > solutions depending on the workload generated by the application and
> this
> > > was inefficient. Pinot was developed to be the one single platform that
> > > addresses all classes of applications. Today at LinkedIn, Pinot powers
> > more
> > > than 50 site facing products with workload ranging from few queries per
> > > second to 1000’s of queries per second while maintaining the 99th
> > > percentile latency which can be as low as few milliseconds. All
> internal
> > > dashboards at LinkedIn are powered by Pinot.
> > >
> > > == Rationale ==
> > >
> > > We believe that requirement to develop rich real-time analytic
> > applications
> > > is applicable to other organizations. Both Pinot and the interested
> > > communities would benefit from this work being openly available.
> > >
> > > == Current Status ==
> > >
> > > Pinot is currently open sourced under the Apache License Version 2.0
> and
> > > available at github.com/linkedin/pinot. All the development is done
> > using
> > > GitHub Pull Requests. We cut releases on a weekly basis and deploy it
> at
> > > LinkedIn. mp-0.1.468 is the latest release tag that is deployed in
> > > production.
> > >
> > > == Meritocracy ==
> > >
> > > Following the Apache meritocracy model, we intend to build an open and
> > > diverse community around Pinot. We will encourage the community to
> > > contribute to discussion and codebase.
> > >
> > > == Community ==
> > >
> > > Pinot is currently used extensively at LinkedIn and Uber. Several
> > companies
> > > have expressed interest in the project. We hope to extend the
> contributor
> > > base significantly by bringing Pinot into Apache.
> > >
> > > == Core Developers ==
> > >
> > > Pinot was started by engineers at LinkedIn, and now has committers from
> > > Uber.
> > >
> > > == Alignment ==
> > >
> > > Apache is the most natural home 

Re: [VOTE] Accept Pinot into Apache Incubator

[kishore g]

Added Jim Jagielski to the mentor's list.

On Fri, Mar 9, 2018 at 6:35 PM, Olivier Lamy  wrote:

> +1
>
> On 9 March 2018 at 17:11, kishore g  wrote:
>
> > Hi all,
> >
> > I would like to call a VOTE to accept Pinot into the Apache Incubator.
> The
> > full proposal is available on the wiki
> > 
> >
> > Please cast your vote:
> >
> >   [ ] +1, bring Pinot into Incubator
> >   [ ] +0, I don't care either way,
> >   [ ] -1, do not bring Pinot into Incubator, because...
> >
> > The vote will open at least for 72 hours and only votes from the
> Incubator
> > PMC are binding.
> >
> > Thanks,
> > Kishore G
> >
> > Discussion thread:
> > https://lists.apache.org/thread.html/8119f9478ea1811371f1bf6685290b
> > 22b57b1a3e0849d1d778d77dcb@%3Cgeneral.incubator.apache.org
> >
> >
> > = Pinot Proposal =
> >
> > == Abstract ==
> >
> > Pinot is a distributed columnar storage engine that can ingest data in
> > real-time and serve analytical queries at low latency. There are two
> modes
> > of data ingestion - batch and/or realtime. Batch mode allows users to
> > generate pinot segments externally using systems such as Hadoop. These
> > segments can be uploaded into Pinot via simple curl calls. Pinot can
> ingest
> > data in near real-time from streaming sources such as Kafka. Data
> ingested
> > into Pinot is stored in a columnar format. Pinot provides a SQL like
> > interface (PQL) that supports filters, aggregations, and group by
> > operations. It does not support joins by design, in order to guarantee
> > predictable latency. It leverages other Apache projects such as
> Zookeeper,
> > Kafka, and Helix, along with many libraries from the ASF.
> >
> > == Proposal ==
> >
> > Pinot was open sourced by LinkedIn and hosted on GitHub. Majority of the
> > development happens at LinkedIn with other contributions from Uber and
> > Slack. We believe that being a part of Apache Software Foundation will
> > improve the diversity and help form a strong community around the
> project.
> >
> > LinkedIn submits this proposal to donate the code base to Apache Software
> > Foundation. The code is already under Apache License 2.0.  Code and the
> > documentation are hosted on Github.
> >  * Code: http://github.com/linkedin/pinot
> >  * Documentation: https://github.com/linkedin/pinot/wiki
> >
> >
> > == Background ==
> >
> > LinkedIn, similar to other companies, has many applications that provide
> > rich real-time insights to members and customers (internal and external).
> > The workload characteristics for these applications vary a lot. Some
> > internal applications simply need ad-hoc query capabilities with
> sub-second
> > to multiple seconds latency. But external site facing applications
> require
> > strong SLA even very high workloads. Prior to Pinot, LinkedIn had
> multiple
> > solutions depending on the workload generated by the application and this
> > was inefficient. Pinot was developed to be the one single platform that
> > addresses all classes of applications. Today at LinkedIn, Pinot powers
> more
> > than 50 site facing products with workload ranging from few queries per
> > second to 1000’s of queries per second while maintaining the 99th
> > percentile latency which can be as low as few milliseconds. All internal
> > dashboards at LinkedIn are powered by Pinot.
> >
> > == Rationale ==
> >
> > We believe that requirement to develop rich real-time analytic
> applications
> > is applicable to other organizations. Both Pinot and the interested
> > communities would benefit from this work being openly available.
> >
> > == Current Status ==
> >
> > Pinot is currently open sourced under the Apache License Version 2.0 and
> > available at github.com/linkedin/pinot. All the development is done
> using
> > GitHub Pull Requests. We cut releases on a weekly basis and deploy it at
> > LinkedIn. mp-0.1.468 is the latest release tag that is deployed in
> > production.
> >
> > == Meritocracy ==
> >
> > Following the Apache meritocracy model, we intend to build an open and
> > diverse community around Pinot. We will encourage the community to
> > contribute to discussion and codebase.
> >
> > == Community ==
> >
> > Pinot is currently used extensively at LinkedIn and Uber. Several
> companies
> > have expressed interest in the project. We hope to extend the contributor
> > base significantly by bringing Pinot into Apache.
> >
> > == Core Developers ==
> >
> > Pinot was started by engineers at LinkedIn, and now has committers from
> > Uber.
> >
> > == Alignment ==
> >
> > Apache is the most natural home for taking Pinot forward. Pinot leverages
> > several existing Apache Projects such as Kafka, Helix, Zookeeper, and
> Avro.
> > As Pinot gains adoption, we plan to add support for the ORC and Parquet
> > formats, as well as adding integration with Yarn and Mesos.
> >
> > == Known Risks ==
> >
> > === Orphaned Products ===
> >
> > The risk of the 

Re: [VOTE] Accept Pinot into Apache Incubator

[Olivier Lamy]

+1

On 9 March 2018 at 17:11, kishore g  wrote:

> Hi all,
>
> I would like to call a VOTE to accept Pinot into the Apache Incubator. The
> full proposal is available on the wiki
> 
>
> Please cast your vote:
>
>   [ ] +1, bring Pinot into Incubator
>   [ ] +0, I don't care either way,
>   [ ] -1, do not bring Pinot into Incubator, because...
>
> The vote will open at least for 72 hours and only votes from the Incubator
> PMC are binding.
>
> Thanks,
> Kishore G
>
> Discussion thread:
> https://lists.apache.org/thread.html/8119f9478ea1811371f1bf6685290b
> 22b57b1a3e0849d1d778d77dcb@%3Cgeneral.incubator.apache.org
>
>
> = Pinot Proposal =
>
> == Abstract ==
>
> Pinot is a distributed columnar storage engine that can ingest data in
> real-time and serve analytical queries at low latency. There are two modes
> of data ingestion - batch and/or realtime. Batch mode allows users to
> generate pinot segments externally using systems such as Hadoop. These
> segments can be uploaded into Pinot via simple curl calls. Pinot can ingest
> data in near real-time from streaming sources such as Kafka. Data ingested
> into Pinot is stored in a columnar format. Pinot provides a SQL like
> interface (PQL) that supports filters, aggregations, and group by
> operations. It does not support joins by design, in order to guarantee
> predictable latency. It leverages other Apache projects such as Zookeeper,
> Kafka, and Helix, along with many libraries from the ASF.
>
> == Proposal ==
>
> Pinot was open sourced by LinkedIn and hosted on GitHub. Majority of the
> development happens at LinkedIn with other contributions from Uber and
> Slack. We believe that being a part of Apache Software Foundation will
> improve the diversity and help form a strong community around the project.
>
> LinkedIn submits this proposal to donate the code base to Apache Software
> Foundation. The code is already under Apache License 2.0.  Code and the
> documentation are hosted on Github.
>  * Code: http://github.com/linkedin/pinot
>  * Documentation: https://github.com/linkedin/pinot/wiki
>
>
> == Background ==
>
> LinkedIn, similar to other companies, has many applications that provide
> rich real-time insights to members and customers (internal and external).
> The workload characteristics for these applications vary a lot. Some
> internal applications simply need ad-hoc query capabilities with sub-second
> to multiple seconds latency. But external site facing applications require
> strong SLA even very high workloads. Prior to Pinot, LinkedIn had multiple
> solutions depending on the workload generated by the application and this
> was inefficient. Pinot was developed to be the one single platform that
> addresses all classes of applications. Today at LinkedIn, Pinot powers more
> than 50 site facing products with workload ranging from few queries per
> second to 1000’s of queries per second while maintaining the 99th
> percentile latency which can be as low as few milliseconds. All internal
> dashboards at LinkedIn are powered by Pinot.
>
> == Rationale ==
>
> We believe that requirement to develop rich real-time analytic applications
> is applicable to other organizations. Both Pinot and the interested
> communities would benefit from this work being openly available.
>
> == Current Status ==
>
> Pinot is currently open sourced under the Apache License Version 2.0 and
> available at github.com/linkedin/pinot. All the development is done using
> GitHub Pull Requests. We cut releases on a weekly basis and deploy it at
> LinkedIn. mp-0.1.468 is the latest release tag that is deployed in
> production.
>
> == Meritocracy ==
>
> Following the Apache meritocracy model, we intend to build an open and
> diverse community around Pinot. We will encourage the community to
> contribute to discussion and codebase.
>
> == Community ==
>
> Pinot is currently used extensively at LinkedIn and Uber. Several companies
> have expressed interest in the project. We hope to extend the contributor
> base significantly by bringing Pinot into Apache.
>
> == Core Developers ==
>
> Pinot was started by engineers at LinkedIn, and now has committers from
> Uber.
>
> == Alignment ==
>
> Apache is the most natural home for taking Pinot forward. Pinot leverages
> several existing Apache Projects such as Kafka, Helix, Zookeeper, and Avro.
> As Pinot gains adoption, we plan to add support for the ORC and Parquet
> formats, as well as adding integration with Yarn and Mesos.
>
> == Known Risks ==
>
> === Orphaned Products ===
>
> The risk of the Pinot project being abandoned is minimal. The teams at
> LinkedIn and Uber are highly incentivized to continue development of Pinot
> as it is a critical part of their infrastructure.
>
> === Inexperience with Open Source ===
>
> Post open sourcing, Pinot was completely developed on GitHub. All the
> current developers on Pinot are well aware of the open source development
>