[ANNOUNCE] Apache NiFi 1.13.0 release

[Joe Witt]

Hello

The Apache NiFi team would like to announce the release of Apache NiFi 1.13.0.

This release includes 260 new features, bug fixes and improvements.

Apache NiFi is an easy to use, powerful, and reliable system to
process and distribute
data.  Apache NiFi was made for dataflow.  It supports highly
configurable directed graphs
of data routing, transformation, and system mediation logic.

More details on Apache NiFi can be found here:
https://nifi.apache.org/

The release artifacts can be downloaded from here:
https://nifi.apache.org/download.html

Maven artifacts have been made available and mirrored as per normal
ASF artifact processes.

Issues closed/resolved for this list can be found here:
https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12316020=12348700

Release note highlights can be found here:
https://cwiki.apache.org/confluence/display/NIFI/Release+Notes#ReleaseNotes-Version1.13.0

Thank you
The Apache NiFi team

The Apache Software Foundation Announces Apache® Gobblin™ as a Top-Level Project

[Sally Khudairi]

[this announcement is available online at https://s.apache.org/df92k ]

Open Source distributed Big Data integration framework in use at Apple, CERN, 
Comcast, Intel, LinkedIn, Nerdwallet, PayPal, Prezi, Roku, Sandia National 
Labs, Swisscom, Verizon, and more.

Wilmington, DE —16 February 2021— The Apache Software Foundation (ASF), the 
all-volunteer developers, stewards, and incubators of more than 350 Open Source 
projects and initiatives, announced today Apache® Gobblin™ as a Top-Level 
Project (TLP).

Apache Gobblin is a distributed Big Data integration framework used in both 
streaming and batch data ecosystems. The project originated at LinkedIn in 
2014, was open-sourced in 2015, and entered the Apache Incubator in February 
2017.

"We are excited that Gobblin has completed the incubation process and is now an 
Apache Top-Level Project," said Abhishek Tiwari, Vice President of Apache 
Gobblin and software engineering manager at LinkedIn. "Since entering the 
Apache Incubator, we have completed four releases and grown our community the 
Apache Way to more than 75 contributors from around the world."

Apache Gobblin is used to integrate hundreds of terabytes and thousands of 
datasets per day by simplifying the ingestion, replication, organization, and 
lifecycle management processes across numerous execution environments, data 
velocities, scale, connectors, and more.

"Originally creating this project, seeing it come to life and solve 
mission-critical problems at many companies has been a very gratifying 
experience for me and the entire Gobblin team," said Shirshanka Das, Founder 
and CTO at Acryl Data, and member of the Apache Gobblin Project Management 
Committee.

As a highly scalable data management solution for structured and byte-oriented 
data in heterogeneous data ecosystems, Apache Gobblin makes the arduous task of 
creating and maintaining a modern data lake easy. It supports the three main 
capabilities required by every data team: 

 - Ingestion and export of data from a variety of sources and sinks into and 
out of the data lake while supporting simple transformations. 
 - Data Organization within the lake (e.g. compaction, partitioning, 
deduplication).
 - Lifecycle and Compliance Management of data within the lake (e.g. data 
retention, fine-grain data deletions) driven by metadata.

"Apache Gobblin supports deployment models all the way from a single-process 
standalone application to thousands of containers running in cloud-native 
environments, ensuring that your data plane can scale with your company’s 
growth," added Das.

Apache Gobblin is in use at Apple, CERN, Comcast, Intel, LinkedIn, Nerdwallet, 
PayPal, Prezi, Roku, Sandia National Laboratories, Swisscom, and Verizon, among 
many others.

"We chose Apache Gobblin as our primary data ingestion tool at Prezi because it 
proved to scale, and it is a swiss army knife of data ingestion," said Tamas 
Nemeth, Tech Lead and Manager at Prezi. "Today, we ingest, deduplicate, and 
compact more than 1200 Apache Kafka topics with its help, and this number is 
still growing. We are looking forward to continuing to contribute to the 
project and helping the community enable other companies to use Apache Gobblin."

"Apache Gobblin has been at the center stage of the data management story at 
LinkedIn. We leverage it for various use-cases ranging from ingestion, 
replication, compaction, retention, and more," said Kapil Surlaker, Vice 
President of Engineering at LinkedIn. "It is battle-tested and serves us well 
at exabyte scale. We firmly believe in the data wrangling capabilities that 
Gobblin has to offer, and we will continue to contribute heavily and 
collaborate with the Apache Gobblin community. We are happy to see that Gobblin 
has established itself as an industry standard and is now an Apache Top-Level 
Project."

"Open community and meritocracy are the key drivers for Apache Gobblin's 
success," added Tiwari. "We invite everyone interested in the data management 
space to join us and help shape the future of Gobblin."

Catch Apache Gobblin in action in the upcoming hackathon planned for late Q1 
2021. Details will be posted on the Apache Gobblin mailing lists and Twitter 
feed listed below.

Availability and Oversight
Apache Gobblin software is released under the Apache License v2.0 and is 
overseen by a self-selected team of active contributors to the project. A 
Project Management Committee (PMC) guides the Project's day-to-day operations, 
including community development and product releases. For downloads, 
documentation, and ways to become involved with Apache Gobblin, visit 
https://gobblin.apache.org/ and https://twitter.com/ApacheGobblin 

About the Apache Incubator
The Apache Incubator is the primary entry path for projects and codebases 
wishing to become part of the efforts at The Apache Software Foundation. All 
code donations from external organizations and existing external projects enter 
the ASF through the 

[ANNOUNCE] Apache Jackrabbit Oak 1.2 retired

[Julian Reschke]

Dear users of Apache Jackrabbit,

the Apache Jackrabbit Team has decided to drop support and deprecate the 
1.2 branch of Apache Jackrabbit Oak. Branch, tags and releases will 
still be available for future references, but will not show up on the 
download page anymore.


Users who can move to Java 8 should switch to the latest stable release 
(currently 1.38.0). Users who can move to Java 7 can switch to Oak 
1.6.20, with the caveat that this branch will require Java 8 with the 
next release (1.6.21). In general, users are encouraged to switch to a 
platform compatible with Java 8 (or newer). See the downloads page for 
more details.


See , 
 and 
 for further information.


Best regards, Julian