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Databricks releases, every cloud

122 releases of 1321

Last updated

  1. Base environments are now supported on classic compute (Beta)

    Manages Python dependencies using Databricks-provided or custom environments.

  2. Standard performance mode is now available for one-time runs in the Jobs API

    Sets performance_target to STANDARD. Supports Apache Airflow's DatabricksSubmitRunOperator.

  3. Environment version 6 is now available

    Supports serverless and standard classic compute.

  4. Private network gateway is in Beta

    Connects serverless compute to VNet and on-premises systems through a managed gateway. Enabled from account console Previews page.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  5. Git Folder Serverless is in Beta

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

  6. Automatic change data feed is now generally available

    Requires Databricks Runtime 19 or above with row tracking enabled. Makes MERGE and UPDATE operations about 15% faster.

  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. Databricks Runtime 19: September 1, 2026

    Replaces manual change data feed enablement, requires row tracking enabled.

  9. Databricks Runtime maintenance updates (09/01)

    Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

  10. Private network gateway is in Private Preview

    Connects serverless compute to VPC and on-premises systems through a managed gateway, reusing existing network connectivity configuration.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  11. Inbound Private Service Connect for performance-intensive services (Beta)

    Enables private connectivity to services like Zerobus Ingest and Lakebase Autoscaling on Google Cloud.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(unknown)
  12. Default Python package repositories are GA for Lakeflow pipelines and classic compute

    Supports private or authenticated registries as workspace defaults. Applies to UI and API created classic compute.

  13. Manage project environments with %uv commands

    Requires environment version 5 or above. Supports serverless notebooks.

  14. Cross-workspace access for serverless (Beta)

    Controls serverless network traffic between workspaces with ingress and egress rules.

  15. Custom URL access to workspaces over inbound Private Link (Beta)

    Uses general_access private endpoint, serves workspaces and account-level resources across regions.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  16. Target an Azure capacity reservation group for classic compute

    Requires VNet injection, guarantees compute capacity for constrained VM types.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP(unknown)
  17. JAR tasks on serverless compute are now generally available

    Requires matching Scala, Java Development Kit, and Databricks Connect versions.

  18. Serverless outbound Private Service Connect to customer-managed resources (Public Preview)

    Keeps traffic off the public internet, adding network-layer defense against data exfiltration through customer-managed Google Cloud service attachment.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(unknown)
  19. Databricks Runtime maintenance updates (08/04)

    Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

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  21. Serverless compute access control is now generally available

    Governs access to notebooks, jobs, and pipelines through Default Interactive and Automated Compute objects. Existing workloads run unchanged.

  22. 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.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(unknown)
  23. Databricks Runtime maintenance updates (07/24)

    Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

  24. Dedicated group clusters will soon be available by default for workspaces with the compliance security profile enabled Coming soon

    Enables shared compute for groups with compliance security profile, supporting Databricks Runtime for ML and RDD APIs.

  25. Databricks Runtime 18 and Databricks Runtime 18 for Machine Learning have transitioned to LTS

    Receives 3 years of stability and security fixes.

  26. Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are now generally available

    Powered by Apache Spark 4.2.0.

  27. Databricks Runtime 19: July 23, 2026

    Enables Arrow-optimized Python UDFs by default, changing type-coercion behavior.

  28. Networking charges for performance-intensive products

    Charges apply to cross-region and public-internet egress for Lakebase, OpenSharing SecureConnect, Zerobus, and Files API.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP, read it on their docs
  29. Context-based ingress control for workspaces public access is now generally available

    Uses allow and deny rules to control access based on identities, network sources, and request types.

  30. Allowlist partner platform IPs in context-based ingress control (Beta)

    Supports Power BI, Tableau Cloud, and dbt platform, with automatic IP list updates.

  31. Serverless compute is now available in the Azure UK West region

    Supports notebooks, jobs, pipelines, and SQL warehouses, with private connectivity.

    AWS(not on this cloud)Azure, read it on their docsGCP(not on this cloud)SAP, read it on their docs
  32. July 6, 2026

    Updates from Databricks Runtime 18, adds Spark Declarative Pipelines and IP address functions.

  33. Databricks Runtime maintenance updates (06/29)

    Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.2.

  34. Databricks Runtime 19 (Beta): June 26, 2026

    Restricts environment variables and Spark configurations in standard access mode. Removes previously allowed settings.

  35. Block specific internet destinations in network policies (Public Preview)

    Blocks destinations regardless of network access mode, enforced through REST API.

  36. Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are in Beta

    Powered by Apache Spark 4.2.0.

  37. Databricks Runtime 19 (Beta): June 15, 2026

    Replaces JDK 17 with JDK 21, removes 90 Python packages.

  38. Private Link for account-level resources (Beta)

    Connects account console through VPC interface endpoint instead of public internet. Requires configuration.

    AWS, read it on their docsAzure, read it on their docsGCP(not on this cloud)SAP(not on this cloud)
  39. Databricks Runtime 18: June 10, 2026

    Adds Spark Declarative Pipelines and IP address functions, requires no changes to existing setups.

  40. Schedule deferred policy enforcement for all-purpose compute

    Applies on next restart or immediately, and admins can cancel scheduled enforcements.

  41. Databricks Runtime 18: June 8, 2026

    Adds NEAREST BY SQL join type and DESCRIBE TABLE PARTITION for v2 catalog tables.

  42. Inbound Private Link for performance-intensive services is now generally available

    Supports Lakebase Autoscaling and Zerobus Ingest.

    AWS, read it on their docsAzure(not on this cloud)GCP(not on this cloud)SAP, read it on their docs

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.