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Databricks releases, every cloud

All GAPreviewBehavior changeDeprecationUpdate

19 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. Environment variables for serverless jobs are in Beta

    Requires workspace admin to enable from Previews page.

    #Data Engineering
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  3. 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
  4. 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
  5. 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)
  6. Scala and Java UDFs in Unity Catalog are now generally available

    Reuses existing JVM logic, offers better performance than Python UDFs.

    #Data Engineering
    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. 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)
  9. Object metadata column is now in Public Preview

    Exposes object properties like MIME type and tags, available in Databricks Runtime 18.1.

    #Data Engineering
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  10. MySQL integrated CDC pipeline is now in Beta

    Replaces separate ingestion gateway, requires single pipeline update.

    #Data Engineering
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  11. Parquet v2 for Delta Lake tables is generally available

    Requires Databricks Runtime 18.1 and above, set delta.parquet.format.version to 2.12.0.

    #Data Engineering
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP, read it on their docs
  12. 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)
  13. Auto time-to-live for automatic row deletion is generally available

    Deletes rows from Delta Lake, Iceberg, and streaming tables based on a DATE or TIMESTAMP column.

    #Data Engineering
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP, read it on their docs
  14. Converting a partitioned table to liquid clustering is generally available

    Uses ALTER TABLE command, requires Databricks Runtime 18.1 or above.

    #Data Engineering
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP, read it on their docs
  15. Lakehouse Replay (Beta)

    Automatically replays serverless workloads against upcoming runtime releases. Requires no setup.

    #Data Engineering#Databricks SQL
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  16. 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
  17. Spark Declarative Pipelines on Lakeflow updates are retained for 60 days

    Retention period increased from 30 to 60 days, applying to UI and REST API updates.

    #Data Engineering
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  18. SQL alert task for jobs (Beta)

    Evaluates SQL alerts as part of workflows, enabling automated condition checks and notifications.

    #Data Engineering#Data Warehousing
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  19. 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)
  20. Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
  21. 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.