CCloud Releases
Home
Following

Cloud Releases

Service catalogues and updates come from each provider's public product listing and announcements.

Explore

  • Home
  • Latest updates
  • Following

About

  • About
  • Contact
  • Privacy Policy
  • Terms of Use

Providers

  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud
  • Cloudflare

Not affiliated with any cloud provider. Product names and logos belong to their owners.

  1. Providers
  2. ›Amazon Web Services
  3. ›Amazon EMR
  4. ›Update

Feature•Apr 29, 2026

Amazon EMR 7.13 now available with Python 3.11

Amazon EMRAWS · Analytics

Amazon EMR 7.13 is now available with Python 3.11 and version upgrades for additional applications.

EMR 7.13 ships with Python 3.11 for Apache Spark by default. This release also includes patch version upgrades for Apache HBase 2.6.3, Apache Hadoop 3.4.2, Apache Phoenix 5.3.0, and AWS SDK v2.41.11.

Amazon EMR 7.13 is available in all AWS regions where Amazon EMR is available. To learn more about EMR 7.13, visit the Amazon EMR 7.13 Release Guide.

Read the original announcement↗

More from Amazon EMR

All Amazon EMR updates →

  1. Amazon EMR now supports native data quality checks in Apache Spark jobs

    Amazon EMR now validates data quality natively within Apache Spark jobs. Data engineering teams can catch quality issues inline before bad data reaches downstream systems, without building or maintaining separate validation infrastructure.

    Amazon EMR•Feature•Oct 12, 2026

  2. Serverless Storage on Amazon EMR Serverless now supports terabyte-scale shuffle

    Amazon EMR Serverless now offers enhanced serverless storage capabilities with support for up to 1TB shuffle operations, raising the previous 200 GB per-job limit.

    Amazon EMR•Feature•Oct 1, 2026

  3. Apache Iceberg materialized views now support system-managed write protection

    Today, AWS announces system-managed materialized views for Apache Iceberg. Materialized views let you precompute an expensive query once and reuse the result across engines.

    Amazon EMR•Feature•Sep 30, 2026

  4. Run interactive workloads on Amazon EMR on EKS with Spark Connect

    Amazon EMR on EKS now supports interactive Apache Spark sessions with Spark Connect. Data engineers and data scientists can develop and debug Apache Spark applications interactively from managed notebooks in Amazon SageMaker Unified Studio and their own IDEs, such as Jupyter and…

    Amazon EMR•Feature•Sep 24, 2026

  5. Amazon EMR on EKS now supports IPv6 Amazon EKS clusters

    Today, AWS announces that Amazon EMR on EKS now supports running workloads on IPv6 Amazon Elastic Kubernetes Service (Amazon EKS) clusters.

    Amazon EMR•Feature•Sep 23, 2026