Skip to content

Databricks releases, every cloud

All GAPreviewBehavior changeDeprecationUpdate

6 releases of 1321

Last updated

  1. Git Folder Serverless is in Beta

    Shares serverless compute and pyproject.toml environment across notebooks and files.

    #Compute#Git Folders
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown)
  2. Web terminal on serverless GPU compute (AI Runtime) is in Public Preview

    Runs shell commands, monitors GPU usage, and manages files on serverless GPU compute. Requires environment version 5 or above.

    #Compute#Machine Learning
    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  3. Instance events and instance pools system tables are now available (Public Preview)

    Track instance state transitions and instance pool configurations via system.compute.instance_events and system.compute.instance_pools tables.

    #Compute#Platform
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
  4. List MCP servers in Azure Databricks Marketplace (Public Preview)

    Allows distribution of AI tools and connection to external data sources, requires provider listing.

    #Marketplace
    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  5. List MCP servers in Databricks Marketplace (Public Preview)

    Lets users install MCP servers to connect AI agents to external data sources.

    #Marketplace
    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  6. 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.

    #Notebooks#Serverless
    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

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.