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Databricks releases, every cloud

88 releases of 1321

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  1. The billable usage table now records the performance mode of serverless jobs and pipelines

    Records performance mode in product_features.performance_target column with values PERFORMANCE_OPTIMIZED, STANDARD, or null.

  2. Databricks Runtime maintenance updates (10/07)

    Includes bug fixes, security patches, and performance improvements.

  3. Databricks Runtime 17.3 LTS and Databricks Runtime 17.3 LTS ML are in Beta

    Powered by Apache Spark 4.0.0, includes new configuration options.

  4. Databricks Runtime maintenance updates

    Includes bug fixes, security patches, and performance improvements.

  5. Databricks Runtime 17.2 is now is now GA

    Replaces 7.3 and earlier, requires new cluster creation.

  6. Databricks Runtime maintenance update

    Includes bug fixes, security patches, and performance improvements.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Admins can now manage a workspace's serverless base environments (Public Preview)

    Defines custom environment specs for serverless notebooks, allows setting a default for new notebooks.

  9. Databricks Runtime 17.1 is now is now GA

    Replaces Databricks Runtime 7.3.

Headlines, dates and product areas are Databricks' own, from the release notes published for each cloud, and every item links to the note it came from. The one-line summaries are ours. Not a Databricks product and not affiliated with Databricks, Inc.