Databricks releases, every cloud
- Databricks Documentation site table of contents tabs
Replaces static sidebar with tabbed navigation, includes 6 context tabs.
- Databricks Runtime 18: March 11, 2026
Replaces previous behavior where observation metric errors caused query failures.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Runtime 18.1 is now GA
Replaces Databricks Runtime 7.3.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Runtime 18: March 10, 2026
Includes clearer error messages for scalar subqueries and operating system security updates.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Runtime maintenance updates (03/10)
Includes bug fixes, security patches, and performance improvements for versions 13.3 to 18.0.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Serverless compute now available for IRAP and Canada Protected B workloads on Azure Databricks
Requires environment version 5 to be enabled.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Version 18.0
Upgrades Redshift JDBC driver to 2.1.0.28, adds SQL window functions to metric views.
- Databricks Runtime 18: February 26, 2026
Adds SET and UNSET METADATA ON COLUMN SQL commands for Unity Catalog table columns. Includes OS security updates.
- Databricks Runtime maintenance updates (02/26)
Includes bug fixes, security patches, and performance improvements for versions 12.2 to 18.0.
- Serverless environment version 5 is now available
Includes CPU and GPU versions.
- Change to use_case field in VPC endpoint API responses Coming soon
Changes from WORKSPACE_ACCESS to GENERAL_ACCESS, see API docs for details.
- Databricks Runtime 18: February 19, 2026
Inferencing Excel string cells now respects cell type, updating from auto-casting to narrower types.
- Databricks Runtime maintenance updates (02/19)
Includes bug fixes, security patches, and performance improvements for versions 12.2 to 18.0.
- Databricks Runtime 18.1 and Databricks Runtime 18.1 ML are in Beta
Powered by Apache Spark 4.1.0.
- Serverless compute now available for compliance standards
Adds HITRUST, PCI-DSS, TISAX, and UK Cyber Essentials Plus support.
- New GCP regions support serverless compute
Available in me-central1 and southamerica-east1 regions.
- Serverless workspaces are now generally available
Come pre-configured with serverless compute and default storage.
- Databricks Runtime 18: January 27, 2026
Reports batchSize and file processing metrics, renames spark.sql.xml.legacyXMLParser.enabled config property.
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- Databricks Runtime maintenance updates (01/27)
Includes bug fixes, security patches, and performance improvements for versions 12.2 to 18.0.
- 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.
- Databricks Runtime 18: January 15, 2026
Uses JDK 21, replacing JDK 17, with changes to Double and Float string representations.
- Databricks Runtime 18.0 is now GA
Replaces Databricks Runtime 7.3.
- Databricks Runtime maintenance updates (01/09)
Includes bug fixes, security patches, and performance improvements for versions 12.2 to 17.3.
- Serverless compute is now available in Azure China North 3
Available for notebooks, jobs, pipelines, and SQL warehouses.
- Serverless workspaces are now available in new GCP regions
Available in most GCP regions, see documentation for list.
- Databricks Runtime 18.0 and Databricks Runtime 18.0 ML are in Beta
Powered by Apache Spark 4.1.0, includes JDK 21 as default.
- Databricks Runtime maintenance updates (12/09)
Includes bug fixes, security patches, and performance improvements for versions 12.2 to 17.3.
- Serverless compute is now available in new regions
Added to Australia Southeast, Canada Central, Mexico Central, Norway East, and South Africa North regions.
- Databricks Runtime maintenance updates (11/18)
Includes bug fixes, security patches, and performance improvements for versions 12.2 to 17.3.
- Serverless notebook tasks can now use jobs environment
Replaces inherited serverless environment with configurable job environment.
- Databricks Runtime maintenance updates (11/04)
Includes bug fixes, security patches, and performance improvements for versions 12.2 to 17.3.
- Serverless compute has been updated to version 17.3
Updated from version 17.2, requires no configuration changes.
- Databricks Runtime 17.3 LTS is now GA
Replaces 7.3 LTS, requires Databricks account.
- Databricks Runtime maintenance updates (10/21)
Includes bug fixes, security patches, and performance improvements.
- 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.
- Databricks Runtime maintenance updates (10/07)
Includes bug fixes, security patches, and performance improvements.
- Databricks Runtime 17.3 LTS and Databricks Runtime 17.3 LTS ML are in Beta
Powered by Apache Spark 4.0.0, includes new configuration options.
- Databricks Runtime maintenance updates
Includes bug fixes, security patches, and performance improvements.
- Databricks Runtime 17.2 is now is now GA
Replaces 7.3 and earlier, requires new cluster creation.
- Databricks Runtime maintenance update
Includes bug fixes, security patches, and performance improvements.
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