Amazon EMR 7.14 Release Updates Apache Spark and Adds Key Features
Amazon EMR 7.14 introduced upgrades to Spark 3.5.8 and Apache Iceberg 1.10.1, delivering faster materialized view refreshes and expanded cluster support features.
By Victor Hale· Editorial pseudonym· 2026-09-22 · 1 min read
AI-ASSISTED REPORTING · RETROSPECTIVE ARCHIVE
Retrospective edition: 2026-09-22. Source published: 2026-09-22. Added to this archive: 2026-11-03. This briefing was prepared later from the linked announcement; it was not published on this website on the historical edition date.
Materialized views now use change data capture for efficient refreshes on updated or deleted data. EMR on EKS clusters added Spark Connect endpoint support with token authentication and compatibility with IPv6 clusters, while EMR Serverless increased Spark job storage limits to 1 TiB.
Available in all AWS regions with EMR, the release enhances usability for diverse workloads. It enables users to create or upgrade clusters leveraging these new capabilities directly through the AWS console or upgrade tooling.
Source published 2026-09-22. This report was prepared with AI assistance from the linked primary-source material. Claims and limitations should be checked against the original announcement or research.