Apache Spark End of Life Dates

Developers working with large-scale data processing rely on a unified analytics engine to streamline their workflow, and Apache Spark has been a go-to solution since its inception. Created to provide an interface for programming clusters with implicit data parallelism and fault tolerance, Apache Spark has become an essential tool for many. The Apache Software Foundation maintains this open-source project, ensuring it remains a viable option for developers. With its ability to handle massive amounts of data, Spark has become a staple in the industry, and its widespread adoption is a testament to its effectiveness.

The end-of-life landscape for Apache Spark is characterized by a significant number of versions that are no longer supported, with 17 out of 20 versions having reached their end-of-life. Currently, only three versions remain active, with the latest stable version being 3.5.8. Looking ahead, the next version slated to reach its end-of-life is version 4.0, which is set to expire on November 23, 2026. This gives developers ample time to plan and prepare for the transition to a newer version. The most recent end-of-life date was October 21, 2024, for version 3.4, marking the end of support for that particular iteration.

From a security standpoint, Apache Spark has a spotless record, with no known CVEs tracked to date. This means that there are no critical vulnerabilities to speak of, and as a result, there is no most affected version. With no CVEs to contend with, developers can focus on utilizing Spark's capabilities without worrying about potential security risks. Given its clean security record and the fact that only a few versions are still supported, developers should take this opportunity to review their current Spark setup and plan for any necessary upgrades to ensure continued support and optimal performance.