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Databricks releases, every cloud

All GAPreviewBehavior changeDeprecationUpdate

13 releases of 1321

Last updated

  1. Sharing foreign Delta tables with OpenSharing is now generally available

    Allows sharing tables from OneLake, Hive metastore, or AWS Glue without copying data.

    #Delta Sharing
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  2. Sharing foreign Iceberg tables with OpenSharing is now generally available

    Includes tables from external Iceberg catalogs via Lakehouse Federation.

    #Delta Sharing
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  3. Sharing foreign schemas and tables with OpenSharing is now generally available

    Sharing foreign schemas and tables doesn't copy data into Databricks. It incurs compute and storage costs on the provider's side.

    #Delta Sharing
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  4. Sharing managed Iceberg tables is now generally available

    Now supports sharing to external Iceberg clients.

    #Delta Sharing
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  5. Sharing tables backed by default storage is now generally available

    Enabled by default on a rolling basis, can be shared with classic compute recipients.

    #Delta Sharing
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  6. Sharing Delta tables with deletion vectors and column mapping is now generally available

    Enables sharing tables with deletion vectors or column mapping. Requires setup in Add tables with deletion vectors or column mapping to a share.

    #Delta Sharing
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Sharing Delta tables with Iceberg reads enabled is now generally available

    Enables reading Delta tables as Iceberg tables, requires Databricks Runtime 8.4 or above.

    #Delta Sharing
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  9. 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)
  10. 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)
  11. 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
  12. The SAP Business Data Cloud (BDC) Connector for Azure Databricks is generally available

    Enables secure data sharing between SAP BDC and Unity Catalog-enabled Azure Databricks workspaces.

    #Delta Sharing
    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  13. The SAP Business Data Cloud (BDC) Connector for Databricks is generally available

    Enables secure data sharing between SAP BDC and Unity Catalog-enabled Databricks workspaces.

    #Delta Sharing
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  14. 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)

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.