Great! Thanks to everyone who contributed to this release! We encourage Kylin 2.x users to upgrade to Kylin 3, which has been verified by several early and big users. In the future, we will focus more on 3.1 and 4.0 development.
Best regards, Shaofeng Shi 史少锋 Apache Kylin PMC Email: [email protected] Apache Kylin FAQ: https://kylin.apache.org/docs/gettingstarted/faq.html Join Kylin user mail group: [email protected] Join Kylin dev mail group: [email protected] George Ni <[email protected]> 于2020年7月2日周四 下午9:44写道： > The Apache Kylin team is pleased to announce the immediate availability of > the 3.1.0 release. > > This is a major release after 3.0.0, with 10 new features and 142 bug > fixes and enhancement. All of the changes in this release can be found in: > https://kylin.apache.org/docs/release_notes.html > > You can download the source release and binary packages from Apache > Kylin's download page: https://kylin.apache.org/download/ > > Apache Kylin is an open-source Distributed Analytical Data Warehouse for > Big Data; it was designed to provide OLAP (Online Analytical Processing) > capability in the big data era. By renovating the multi-dimensional cube > and precalculation technology on Hadoop and Spark, Kylin is able to achieve > near-constant query speed regardless of the ever-growing data volume. > Reducing query latency from minutes to sub-second, Kylin brings online > analytics back to big data. > > Apache Kylin lets you query billions of rows at sub-second latency in 3 > steps: > 1. Identify a Star/Snowflake Schema on Hadoop. > 2. Build Cube from the identified tables. > 3. Query using ANSI-SQL and get results in sub-second, via ODBC, JDBC or > RESTful API. > > Thanks to everyone who has contributed to this release. > > We welcome your help and feedback. For more information on how to report > problems, and to get involved, visit the project website at > https://kylin.apache.org/ > > -- > > --------------------- > > Best regards, > > > > Ni Chunen / George >
