Apache Paimon: Streaming Data Lake Platform

Paimon is a streaming data lake platform that supports high-speed data ingestion, change data tracking and efficient real-time analytics.

Background and documentation are available at https://paimon.apache.org

Paimon's former name was Flink Table Store, developed from the Flink community. The architecture refers to some design concepts of Iceberg. Thanks to Apache Flink and Apache Iceberg.


Paimon tracks issues in GitHub and prefers to receive contributions as pull requests.

Mailing Lists

User support and questions mailing list
Development related discussions

Please make sure you are subscribed to the mailing list you are posting to! If you are not subscribed to the mailing list, your message will either be rejected (dev@ list) or you won't receive the response (user@ list).


You can join the Paimon community on Slack. Paimon channel is in ASF Slack workspace.

  • Anyone with an @apache.org email address can become a full member of the ASF Slack workspace. Search Paimon channel and join it.
  • If you don't have an @apache.org email address, you can email to user@paimon.apache.org to apply for an ASF Slack invitation. Then join Paimon channel.

Don’t forget to introduce yourself in channel.


JDK 8/11 is required for building the project.

  • Run the mvn clean install -DskipTests command to build the project.
  • Run the mvn spotless:apply to format the project (both Java and Scala).
  • IDE: Mark paimon-common/target/generated-sources/antlr4 as Sources Root.

How to Contribute

Contribution Guide.

Download Details:

Author: apache

Official Github: https://github.com/apache/incubator-paimon 

License: Apache-2.0 license

#data #data-analysis #data-science #apache

Apache Paimon: Streaming Data Lake Platform
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