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Databricks releases, every cloud

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13 releases of 1321

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  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.

    #Databricks Runtime
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  2. Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are now generally available

    Powered by Apache Spark 4.2.0.

    #Databricks Runtime
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  3. MLflow trace storage in Unity Catalog is now generally available

    Stores traces in OpenTelemetry format with unlimited storage and SQL query access.

    #MLflow#Unity Catalog
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  4. AUTO CDC flows for streaming tables in Databricks SQL are generally available

    Automatically handles out-of-order records as SCD type 1 or 2, replacing complex MERGE INTO logic.

    #Data Engineering#Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  5. Refresh policies and EXPLAIN CREATE MATERIALIZED VIEW for materialized views are now generally available

    Requires Databricks Runtime 17.3 and above. Available in Databricks SQL.

    #Databricks SQL#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  6. Databricks SQL alerts are now generally available

    Monitors data and KPIs by running scheduled queries, notifying recipients when conditions are met.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP, read it on their docs
  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 18.2 is now GA

    Replaces 7.3 and 7.3 ML.

    #Databricks Runtime
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  9. Databricks Runtime 18.1 is now GA

    Replaces Databricks Runtime 7.3.

    #Databricks Runtime
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  10. Databricks Runtime 18.0 is now GA

    Replaces Databricks Runtime 7.3.

    #Databricks Runtime
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  11. Databricks Runtime 17.3 LTS is now GA

    Replaces 7.3 LTS, requires Databricks account.

    #Databricks Runtime
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  12. Databricks Runtime 17.2 is now is now GA

    Replaces 7.3 and earlier, requires new cluster creation.

    #Databricks Runtime
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  13. New SQL editor is generally available

    Provides a unified authoring environment with features like real-time collaboration and enhanced Databricks Assistant integration.

    #Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  14. Databricks Runtime 17.1 is now is now GA

    Replaces Databricks Runtime 7.3.

    #Databricks Runtime
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)

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.