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Databricks releases, every cloud

12 releases of 1321

Last updated

  1. Automatic change data feed is now generally available

    Requires Databricks Runtime 19 or above with row tracking enabled. Makes MERGE and UPDATE operations about 15% faster.

  2. JAR tasks on serverless compute are now generally available

    Requires matching Scala, Java Development Kit, and Databricks Connect versions.

  3. Serverless compute access control is now generally available

    Governs access to notebooks, jobs, and pipelines through Default Interactive and Automated Compute objects. Existing workloads run unchanged.

  4. Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are now generally available

    Powered by Apache Spark 4.2.0.

  5. Databricks Runtime 18.2 is now GA

    Replaces 7.3 and 7.3 ML.

  6. Workspace base environments are now generally available

    Lets workspace admins create pre-built environments for serverless notebooks, enabled by default in compliance security profile workspaces.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Databricks Runtime 18.1 is now GA

    Replaces Databricks Runtime 7.3.

  9. Serverless workspaces are now generally available

    Come pre-configured with serverless compute and default storage.

  10. Databricks Runtime 18.0 is now GA

    Replaces Databricks Runtime 7.3.

  11. Databricks Runtime 17.3 LTS is now GA

    Replaces 7.3 LTS, requires Databricks account.

  12. Databricks Runtime 17.2 is now is now GA

    Replaces 7.3 and earlier, requires new cluster creation.

  13. Databricks Runtime 17.1 is now is now GA

    Replaces Databricks Runtime 7.3.

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