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Apache Ignite 2.13.0: new Apache Calcite-based SQL engine

April 28, 2022 by Nikita Amelchev. Share in Facebook, Twitter

As of April 26, 2022, Apache Ignite 2.13 has been released. You can directly check the full list of resolved Important JIRA tasks but here let's briefly overview some valuable improvements.

This is a breaking change release: The legacy service grid implementation was removed.

New Apache Calcite-based SQL engine

We've implemented a new experimental SQL engine based on Apache Calcite. Now it's possible to:

The current H2-based engine has fundamental limitations. For example:

  • some queries should be splitted into 2 phases (map subquery and reduce subquery), but some of them cannot be effectively executed in 2 phases.
  • H2 is a third-party database product with not-ASF license.
  • The optimizer and other internal things are not supposed to work in a distributed environment.
  • It's hard to make Ignite-specific changes to the H2 code, patches are often declined.

Apache Ignite Momentum: Highlights from 2020-2021

September 14, 2021 by Denis Magda. Share in Facebook, Twitter

When Apache Ignite entered the Apache Software Foundation (ASF) Incubator in 2014, it took less than a year for the project and its community to graduate from the Incubator and become a top-level project for the ASF. Since then, Ignite has experienced a significant and steady growth in popularity, and it has been used by thousands of application developers and architects to create high-performance and scalable applications used by millions of people daily. In this article, we’ll recap the achievements of Ignite in 2020-2021.


Ignite is Ranked as a Top 5 Project

The ASF has ranked Apache ignite as a Top 5 project in various categories since 2017. That year, Ignite was in the Top 5 of Apache Project Repositories by Commits and most active Apache mailing lists. Today, the momentum continues, and Ignite continues to be ranked as a Top 5 project in multiple categories: second on the Top 5 big data user lists, third on the Top 5 big data dev lists, second on the Top 5 of all user lists, third on the Top 5 repos by size.