Posted On: May 26, 2021
HAQM EMR 6.3 release version now supports Apache Spark 3.1.1 and provides runtime performance improvements with EMR Runtime for Spark.
HAQM EMR 6.3 also supports Apache Hudi 0.7.0, Flink 1.12.1, PrestoDB 0.245.1, PrestoSQL 350, Hue 4.9, JupyterHub 1.2, Oozie 5.2.1 and TensorFlow 2.4.1.
Starting with HAQM EMR 6.3, HAQM EMR on EKS now supports Kubernetes Pod Templates to simplify running Spark workloads and control costs. Please see our documentation to learn more.
With HAQM EMR 6.3, you can launch a cluster that natively integrates with Apache Ranger. See Integrate HAQM EMR with Apache Ranger in the HAQM EMR Management Guide.
To align with AWS best practices, HAQM EMR has introduced v2 EMR-scoped default managed policies as replacements for policies that will be deprecated. See HAQM EMR Managed Policies.
Starting with HAQM EMR 6.2, Apache HBase on HAQM EMR added persistent Hfile tracking to improve performance with HBase on HAQM S3. Please read our blog to learn more.
Starting with HAQM EMR 5.31, HAQM EMR now includes EMR runtime for Presto, a performance-optimized runtime environment for Presto that includes custom performance improvements. With EMR runtime for Presto, your queries run up to 2.6 times faster. Please see our blog to learn more.
HAQM EMR 6.3 is generally available in all commercial regions where HAQM EMR is available. Please see Regional Availability of HAQM EMR and our release notes for more details.