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Apache Spark: security advisories, deprecations and releases
Unified analytics engine for large-scale data processing and machine learning.
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Deprecations 2
- HIGH ACT BY 23 NOV 2026 endoflife.date · 24 Oct 2026
Apache Spark 4.0 reaches end of life on 2026-11-23
Apache Spark 4.0 reaches end of life on 2026-11-23, as listed by endoflife.date.
- MEDIUM ACT BY 23 NOV 2026 endoflife.date · 2 Oct 2026
Apache Spark 4.0 reaches end of life on 2026-11-23
Apache Spark 4.0 reaches end of life on 2026-11-23, as listed by endoflife.date.
Releases 4
- INFO NEW THIS WEEK endoflife.date · 2 Nov 2026
Apache Spark 4.3 released
Apache Spark 4.3 was released on 2026-10-30.
- INFO AWS What's New · 13 Oct 2026
Amazon EMR adds native data quality checks in Apache Spark
EMR now runs data-quality rules inline inside Spark jobs using the same DQDL syntax as AWS Glue, supporting Iceberg, Hudi and Delta Lake on EC2, EKS and Serverless.
- INFO AWS What's New · 3 Oct 2026
Run interactive workloads on Amazon EMR on EKS with Spark Connect
Amazon EMR on EKS now supports interactive Apache Spark sessions with Spark Connect, enabling development from managed notebooks and IDEs like Jupyter and VS Code.
- INFO ACT BY 31 OCT 2026 AWS What's New · 2 Oct 2026
Serverless Storage on Amazon EMR Serverless now supports terabyte-scale shuffle
Amazon EMR Serverless raises shuffle limit from 200 GB to 1 TB per job, enabling production-scale Spark workloads with joins, aggregations, and sorting on multi-terabyte datasets.
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