Databricks releases, every cloud
- Base environments are now supported on classic compute (Beta)
Manages Python dependencies using Databricks-provided or custom environments.
- Session restore for serverless jobs is in Public Preview
Restores Python variables and Spark session into a new notebook for debugging or exploration, requires eligible serverless compute job runs.
- The Azure Databricks Excel Add-in is now generally available
Connects Excel to Azure Databricks workspace for querying and data import. Enables Live query for pivot tables.
- The Databricks Excel Add-in is now generally available
Connects Excel to Databricks workspace for querying and data import. Enables live query for pivot tables.
- Genie Code for AI Runtime (Public Preview)
Generates distributed training code and resolves environment issues. Requires AI Runtime.
- Connect to the Databricks Genie app in Microsoft Teams with your workspace URL (Public Preview)
Replaces server hostname with workspace URL for connection.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Manage project environments with %uv commands
Requires environment version 5 or above. Supports serverless notebooks.
- Session restore for serverless jobs is now in Beta
Restores Python variables and Spark session into a new notebook. Captures state snapshots on failure or long runs.
- Genie One is now available in Google Sheets
Queries governed data in natural language, importing results as native rows and columns.
- Genie One is now available in Microsoft Excel
Queries governed data in natural language, importing results as native rows and columns.
- Search and replace text across files
Works in Databricks Git folders or Declarative Automation Bundles projects from the Search pane.
- Organize your work with spaces
Preserves open tabs for specific folders or projects.
- 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.
- Git CLI commands in Git folders are now in Public Preview
Enables standard Git commands like git stash and rebase in Databricks terminals. Requires workspace eligibility.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Mention Genie Code in notebook comments
Triggers AI help inline by typing @ and selecting Genie Code.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Protobuf tensor input for custom model serving endpoints (Public Preview)
Replaces JSON with serialized KServe v2 ModelInferRequest. Requires endpoints deployed after July 9, 2026.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Custom Docker images for AI Runtime CLI workloads (Beta)
Allows custom system library versions and complex dependencies, requires setup via Use custom Docker images.
- 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.
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- AI Runtime CLI (Beta)
Submits and manages distributed training workloads on serverless GPU compute from a local machine.
- Write data from Microsoft Excel back to Azure Databricks
Writes to Unity Catalog tables, overwriting existing ones if needed.
- Write data from Microsoft Excel back to Databricks
Writes to Unity Catalog tables, overwriting existing ones if needed.
- Configure Microsoft Entra ID SSO for Power BI (Public Preview)
Uses account-level federation policy, replacing manual config.
- Serve custom LLMs with Custom Model Serving (Beta)
Supports multimodal models and PEFT recipes, unlike Foundation Model APIs.
- Azure Databricks Add-in for Excel support for all compliance security profile standards
Supports all Azure Databricks compliance security profiles.
- Databricks Add-in for Excel support for all compliance security profile standards
Supports all Databricks compliance security profiles. Requires Public Preview.
- Publish a Unity Catalog catalog to Microsoft Fabric (Beta)
Creates a read-only mirrored catalog, allowing Fabric users to query Unity Catalog tables without data movement.
- View run history for scheduled refreshes in Google Sheets
Shows Run ID, start time, and success status for each run.
- HIPAA support for the Azure Databricks Add-in for Excel
Available for workspaces with HIPAA compliance across all supported regions. Requires a workspace with HIPAA compliance enabled.
- HIPAA support for the Databricks Add-in for Excel
Available for workspaces with HIPAA compliance across all supported regions.
- Faster package installs with %uv pip in serverless notebooks
Requires environment version 5 or above. Replaces %pip for faster installs.
- Native data profiling for notebook results tables
View column statistics by selecting headers and clicking Open selection details. Available in notebooks and new SQL editor.
- Azure Databricks Excel Add-in requires workspace preview enablement
Enabled from the Previews page by a workspace admin.
- Databricks Excel Add-in requires workspace preview enablement
Enabled from the Previews page by a workspace admin.
- AI Runtime 1xH100 accelerator (Beta)
Supports 1xH100 accelerator, see Hardware options for details.
- Connect Lovable apps to Azure Databricks
Uses REST API and OAuth authentication. Requires machine-to-machine authentication setup.
- Connect Lovable apps to Databricks
Uses REST API and OAuth machine-to-machine authentication.
- Databricks Connector for Google Sheets updates
Longer query execution timeout and UI improvements added.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - AI Runtime is now in Public Preview
Adds GPU support to serverless compute for deep learning workloads.
- Databricks JDBC driver 2.8.0 is available
Replaces Log4j with SLF4J 2.0.13, enables telemetry by default.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Declarative Feature Engineering APIs (Beta)
Define time-windowed aggregation features from data sources, materialize to Delta tables or Lakebase. Available in us-east-1 and us-west-2 regions.
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.