Databricks releases, every cloud
- Databricks Runtime 18.1 and Databricks Runtime 18.1 ML are in Beta
Powered by Apache Spark 4.1.0.
- Connect Databricks Assistant to MCP servers
Connects to external tools and data sources through MCP servers, requiring permission to use added servers.
- Partner-powered AI features are now supported in the Canada, Brazil, and United Kingdom Azure Geographies
Uses models hosted in the same Azure Geography as the workspace, requires cross-geo processing for some features.
- Databricks Runtime 18: January 27, 2026
Reports batchSize and file processing metrics, renames spark.sql.xml.legacyXMLParser.enabled config property.
- Databricks Runtime maintenance updates (01/27)
Includes bug fixes, security patches, and performance improvements for versions 12.2 to 18.0.
- Databricks Runtime 18: January 15, 2026
Uses JDK 21, replacing JDK 17, with changes to Double and Float string representations.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- 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.
- Create skills for Databricks Assistant
Extends Databricks Assistant with domain-specific tasks, following the open Agent Skills standard.
- Databricks Assistant Agent mode is now in Public Preview
Automates multiple steps from a single prompt, using Azure OpenAI or Anthropic.
- 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.
- Databricks Runtime maintenance updates (11/18)
Includes bug fixes, security patches, and performance improvements for versions 12.2 to 17.3.
- Databricks Runtime maintenance updates (11/04)
Includes bug fixes, security patches, and performance improvements for versions 12.2 to 17.3.
- Databricks Assistant Agent mode can now use models served through Anthropic on Databricks
Requires partner-powered AI features to be enabled. Uses endpoints hosted by Databricks.
- 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 Data Science Agent can now also use models served through Anthropic on Databricks
Uses models served through Anthropic when partner-powered AI features are enabled. Requires partner-powered AI features to be enabled.
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- 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.
- Notebook improvements
Cell execution minimap appears in right margin, supports up to 100MB notebooks.
- 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.
- Databricks Assistant Agent mode: Data Science Agent is in Beta
Orchestrates multi-step workflows from a single prompt, building entire notebooks for tasks like EDA and machine learning.
- Databricks Assistant integrated with compute
Creates compute resources, pools, and policies, and answers questions about them. Available on some compute pages.
- Databricks-hosted models for Assistant are now GA
Available on all cloud platforms at no extra cost.
- Databricks Assistant: User and workspace instructions now available
Custom instructions can be added by users or admins, applying to all Assistant experiences.
- Databricks Runtime 17.1 is now is now GA
Replaces Databricks Runtime 7.3.
- Edit mode in Assistant does multi-cell code refactoring and more
Performs reasoning and editing across multiple cells without manual intervention.
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.