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Databricks releases, every cloud

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14 releases of 1321

Last updated

  1. Automatic change data feed will soon be available in all supported regions Coming soon

    Requires Databricks Runtime 19 or above with row tracking enabled. Replaces manual change data feed setup on tables.

    #Delta Lake
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  2. Lakebase snapshots API (Beta)

    Manages point-in-time snapshots of project branches, allowing create, get, list, delete, and restore operations.

    #Lakebase
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  3. Postgres minor version updates

    Updates to 16.15, 17.11, and 18.6, applied on compute restart.

    #Lakebase
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  4. Lakebase Postgres APIs are now generally available

    Supports operations for projects, branches, and databases through REST API, CLI, and SDKs.

    #Lakebase
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  5. Transactions are now generally available

    Require catalog commits enabled on participating tables. Use BEGIN ATOMIC or BEGIN TRANSACTION syntax.

    #Delta Lake
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP, read it on their docs
  6. Variant and Variant shredding are now generally available

    Requires Databricks Runtime 17.3, recommended 18.1 for optimal performance.

    #Delta Lake
    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. Variant will soon be available by default for workspaces with the compliance security profile enabled Coming soon

    Ingests semi-structured data from sources like Kinesis and REST APIs. Available in July 2026.

    #Delta Lake#Security
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  9. Automatic upgrades will roll out more features to existing tables Coming soon

    Adds row tracking and Checkpoint V2 to existing tables.

    #Delta Lake
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  10. Lakebase update notifications now post 3 days in advance

    Replaces 7-day notice, check project settings for upcoming updates.

    #Lakebase
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  11. Lakebase Postgres is now in Beta

    Available in us-east4, us-central1, and europe-west3 regions.

    #Lakebase
    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  12. Catalog commits are now generally available

    Enables multi-statement transactions on Unity Catalog managed Delta tables, supported by products like MLflow and Delta Sharing.

    #Delta Lake#Unity Catalog
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP, read it on their docs
  13. Lakebase databases as Databricks Apps resources

    Replaces manual database configuration, requires Lakebase setup.

    #Databricks Apps#Lakebase
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  14. Multi-table transactions are now in Public Preview

    Requires catalog commits on participating tables, supports Unity Catalog managed Delta tables.

    #Delta Lake
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  15. Zstd is now the default compression for new managed tables

    Replaces Snappy compression, applies to Databricks Runtime 16.0 and above.

    #Delta Lake
    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.