Databricks releases, every cloud

1. Compute sizing for Databricks Apps is now generally available

   Offers Medium (2 vCPUs, 6 GB) and Large (4 vCPUs, 12 GB) sizes.

   #Databricks Apps
   AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown) Jan 28, 2026
2. You can now use custom base environments for Python, Python Wheels, and notebook tasks in serverless jobs

   Defined with YAML files, they support Python, Python wheel, and notebook tasks.

   #Serverless
   AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown) Jan 20, 2026
3. New resource types for Databricks Apps

   Adds MLflow experiments, vector search indexes, UDFs, and Unity Catalog connections as resources.

   #Databricks Apps
   AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown) Dec 17, 2025
4. Serverless compute is now available in Azure China North 3

   Available for notebooks, jobs, pipelines, and SQL warehouses.

   #Serverless
   AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown) Dec 17, 2025
5. Serverless workspaces are now available in new GCP regions

   Available in most GCP regions, see documentation for list.

   #Serverless
   AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(unknown) Dec 15, 2025
6. Serverless compute is now available in new regions

   Added to Australia Southeast, Canada Central, Mexico Central, Norway East, and South Africa North regions.

   #Serverless
   AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown) Nov 21, 2025
7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
8. Configure compute size for Databricks Apps (Public Preview)

   Controls CPU, memory, and cost based on workload requirements.

   #Databricks Apps
   AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown) Nov 20, 2025
9. 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) Nov 6, 2025
10. 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) Nov 6, 2025
11. Serverless notebook tasks can now use jobs environment

    Replaces inherited serverless environment with configurable job environment.

    #Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown) Nov 5, 2025
12. Serverless compute has been updated to version 17.3

    Updated from version 17.2, requires no configuration changes.

    #Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown) Oct 28, 2025
13. The billable usage table now records the performance mode of serverless jobs and pipelines

    Records performance mode in product_features.performance_target column with values PERFORMANCE_OPTIMIZED, STANDARD, or null.

    #Serverless
    AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(unknown) Oct 9, 2025
14. 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) Aug 28, 2025

Headlines, dates and product areas are Databricks' own, and every item links to the note it came from. The one-line summaries are ours.