https://mariadb.com/kb/en/mariadb-1056-release-notes/
Status: Stable (GA) | Release Date: 7 Oct 2020
https://mariadb.com/kb/en/mariadb-10314-release-notes/
Status: Stable (GA) | Release Date: 2 Apr 2019
https://mariadb.com/kb/en/mariadb-10313-release-notes/
Status: Stable (GA) | Release Date: 21 Feb 2019
https://mariadb.com/kb/en/mariadb-10223-release-notes/
Status: Stable (GA) | Release Date: 25 Mar 2019
https://mariadb.com/kb/en/mariadb-1092-release-notes/
Status: Stable (GA) | Release Date: 22 Aug 2022
https://mariadb.com/kb/en/mariadb-1027-release-notes/
Status: Stable | Release Date: 12 Jul 2017
https://mariadb.com/resources/blog/mysql-5-7-eol-move-to-mariadb-server-with-11-easy-commands/
Research: The research process will be a constant and iterative process as well. It goes hand in hand with testing and as any issues arise, research will follow to determine what to do. There are a lo
https://mariadb.com/database-topics/mariadb-vs-mysql/
We have deep respect for our MySQL heritage and continue to maintain as much compatibility as possible, including protocol compatibility. However, we don’t let the past determine our future. The Mar
https://mariadb.com/resources/datasheets/mariadb-ax-spark/
With the mainstream use of machine learning analytics, Apache Spark has become one of the most popular platforms for machine learning libraries. Spark provides machine learning algorithms such as clas
https://mariadb.com/resources/blog/high-performance-drupal-with-mariadb/
MySQL traditionally assigned a thread for every client connection; of course as the number of concurrent users grows this model shows performance drops. For what I know there are issues in using persi