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Databricks releases, every cloud

32 releases of 1321

Last updated

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

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

  2. Environment version 6 is now available

    Supports serverless and standard classic compute.

  3. 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)
  4. Cross-workspace access for serverless (Beta)

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

  5. JAR tasks on serverless compute are now generally available

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

  6. 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)
  7. Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
  8. 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.

  9. 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.

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

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

  11. July 6, 2026

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

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

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

  13. Workspace admin setting for serverless notebook execution timeout

    Replaces manual override process, defaults to 2.5 hours.

  14. Version 18.2

    Adds CREATE OR REPLACE TEMP TABLE syntax and upgrades Snowflake JDBC driver to 3.28.0.

  15. Faster package installs with %uv pip in serverless notebooks

    Requires environment version 5 or above. Replaces %pip for faster installs.

  16. Connect Databricks to on-premises resources using an SSH reverse tunnel

    Uses proxy VMs in AWS, replacing inbound firewall access.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(not on this cloud)
  17. Workspace base environments are now generally available

    Lets workspace admins create pre-built environments for serverless notebooks, enabled by default in compliance security profile workspaces.

  18. Version 18.1

    Supports DATETIMEOFFSET for Azure Synapse and adds schema evolution with INSERT statements.

  19. 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.

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  21. Version 18.0

    Upgrades Redshift JDBC driver to 2.1.0.28, adds SQL window functions to metric views.

  22. Serverless environment version 5 is now available

    Includes CPU and GPU versions.

  23. Change to use_case field in VPC endpoint API responses Coming soon

    Changes from WORKSPACE_ACCESS to GENERAL_ACCESS, see API docs for details.

    AWS, read it on their docsAzure(not on this cloud)GCP, read it on their docsSAP(unknown)
  24. Serverless egress control is now generally available

    Manages outbound connections with restricted access and FQDN filtering.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(unknown)
  25. New GCP regions support serverless compute

    Available in me-central1 and southamerica-east1 regions.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(unknown)
  26. Serverless workspaces are now generally available

    Come pre-configured with serverless compute and default storage.

  27. 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.

  28. Serverless workspaces are now available in new GCP regions

    Available in most GCP regions, see documentation for list.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(unknown)
  29. Serverless notebook tasks can now use jobs environment

    Replaces inherited serverless environment with configurable job environment.

  30. GCP Private Service Connect generally available

    No account team request needed to enable.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(unknown)
  31. Serverless compute has been updated to version 17.3

    Updated from version 17.2, requires no configuration changes.

  32. 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.

  33. 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.

  34. Updates for customer-managed VPC workspaces (Public Preview)

    Adds Private Service Connect conversion and network config changes.

    AWS(not on this cloud)Azure(not on this cloud)GCP, read it on their docsSAP(unknown)

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.