Databricks releases, every cloud
- Connect to the Databricks Genie app in Microsoft Teams with your workspace URL (Public Preview)
Replaces server hostname with workspace URL for connection.
- Thinking Machine Labs Inkling now available as a Databricks-hosted model in Public Preview
Supports text and image inputs with a 1 million token context window. Access via Foundation Model APIs.
- Restrict access to AI Functions with Unity Catalog permissions (Public Preview)
Requires account team enablement, restricts access to task-specific AI Functions.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Managed agent memory is in Beta
Stores memory in Unity Catalog memory stores, accessed through REST API.
- Publishing a Unity Catalog catalog to Microsoft Fabric is in Public Preview
Creates a read-only mirrored catalog, allowing Fabric users to query Unity Catalog tables directly.
- Omnigent coding agent meta-harness is now in Beta
Wraps coding agents like Claude Code and Codex with a common platform. Swap runtimes with one line of configuration.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Databricks Runtime 19 and Databricks Runtime 19 for Machine Learning are in Beta
Powered by Apache Spark 4.2.0.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Runtime 18 and Databricks Runtime 18 for Machine Learning are in Beta
Powered by Apache Spark 4.1.0, replacing separate release notes for feature versions.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Configure Microsoft Entra ID SSO for Power BI (Public Preview)
Uses account-level federation policy, replacing manual config.
- Alibaba Cloud Qwen3.5 122B A10B now available as a Databricks-hosted model in Public Preview
Accessible via Foundation Model APIs, available in Public Preview.
- Databricks Runtime 18.2 and Databricks Runtime 18.2 ML are in Beta
Powered by Apache Spark 4.1.0.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - ai_classify and ai_extract now support v2 signatures (Public Preview)
Supports improved quality and performance with native composability with ai_parse_document.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Classification and Information Extraction are in Public Preview
Built on v2 signatures of ai_classify and ai_extract, they provide visual UIs for document analysis.
- Connect to Azure Databricks from Microsoft Excel (Public Preview)
Imports data from tables or Metric Views, executes SQL queries in Excel.
- Connect to Databricks from Microsoft Excel (Public Preview)
Imports data from tables or Metric Views, executes SQL queries in Excel.
- Schedule data refreshes in Google Sheets (Public Preview)
Refreshes occur hourly, daily, or weekly.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Runtime 18.1 and Databricks Runtime 18.1 ML are in Beta
Powered by Apache Spark 4.1.0.
- Qwen3-Embedding-0.6B now available in Public Preview as a Databricks-hosted model
Accessible via Foundation Model APIs on a pay-per-token basis.
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- Managed MCP servers is now Public Preview
Allows AI agents to connect to Databricks resources and external APIs.
- 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.
- Alibaba Cloud Qwen3-Next Instruct now available in Beta
Supports 80B A3B Instruct in us-west-2 and ap-northeast-1 regions via pay-per-token APIs.
- 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.
- AI agents: Authorize on-behalf-of-user Public Preview
Lets agents act as the Databricks user who runs the query for added security.
- External MCP servers are in Beta
Enables agent access to external tools, requires connecting to Model Context Protocol servers.
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.