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Databricks releases, every cloud

11 releases of 1321

Last updated

  1. Session restore for serverless jobs is in Public Preview

    Restores Python variables and Spark session into a new notebook for debugging or exploration, requires eligible serverless compute job runs.

  2. Share foreign Delta tables with OpenSharing (Public Preview)

    Allows read-only access to Delta tables in foreign catalogs like OneLake or AWS Glue.

  3. Session restore for serverless jobs is now in Beta

    Restores Python variables and Spark session into a new notebook. Captures state snapshots on failure or long runs.

  4. Git CLI commands in Git folders are now in Public Preview

    Enables standard Git commands like git stash and rebase in Databricks terminals. Requires workspace eligibility.

  5. Share foreign Iceberg tables with Delta Sharing (Public Preview)

    Adds read-only access to federated foreign Iceberg tables. Requires Delta Sharing.

  6. Notebook tagging (Public Preview)

    Organizes notebooks for easier management, supports governed tags for trust levels or lifecycle status.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Delta Sharing to external Iceberg clients is in Public Preview

    Supports Snowflake, Trino, Flink, and Spark clients with zero-copy access.

  9. ABAC-secured assets shared using Delta Sharing is in Public Preview

    Applies to tables and schemas, but not streaming tables or materialized views.

  10. Delta Sharing on Lakehouse Federation is in Beta

    Shares foreign schemas and tables from query federation.

  11. Databricks Assistant Agent mode: Data Science Agent is in Beta

    Orchestrates multi-step workflows from a single prompt, building entire notebooks for tasks like EDA and machine learning.

  12. Admins can now manage a workspace's serverless base environments (Public Preview)

    Defines custom environment specs for serverless notebooks, allows setting a default for new notebooks.

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.