Skip to content

Databricks releases, every cloud

All GAPreviewBehavior changeDeprecationUpdate

6 releases of 1321

Last updated

  1. MLflow trace storage in Unity Catalog will soon be available by default for workspaces with the compliance security profile enabled Coming soon

    Stores MLflow traces in Unity Catalog tables with unlimited storage and OTel format. Requires compliance security profile.

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  2. Genie Code Agent mode is now available by default for workspaces with the compliance security profile enabled

    Requires HIPAA, PCI-DSS, and FedRAMP Moderate controls. Automates code generation and error fixing.

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  3. Upcoming breaking change: default behavior when deleting a Unity Catalog pipeline Coming soon

    Deletes now retain associated tables by default, set cascade=true to remove them.

    #API#Lakeflow
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  4. Supervisor Agent is now available by default for Enhanced Security and Compliance customers

    Requires compliance security profile and specific controls like HIPAA or PCI-DSS.

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  5. Empty vector search endpoints no longer incur charges

    Charges stop 24 hours after last index is deleted.

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  6. Knowledge Assistant is now available by default for Enhanced Security and Compliance customers

    Requires compliance security profile and HIPAA controls.

    #Databricks AI
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs

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.