Databricks releases, every cloud
- Base environments are now supported on classic compute (Beta)
Manages Python dependencies using Databricks-provided or custom environments.
- Git Folder Serverless is in Beta
Shares serverless compute and pyproject.toml environment across notebooks and files.
- Default Python package repositories are GA for Lakeflow pipelines and classic compute
Supports private or authenticated registries as workspace defaults. Applies to UI and API created classic compute.
- Manage project environments with %uv commands
Requires environment version 5 or above. Supports serverless notebooks.
- Target an Azure capacity reservation group for classic compute
Requires VNet injection, guarantees compute capacity for constrained VM types.
- 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.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- 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.
- Dedicated group clusters will soon be available by default for workspaces with the compliance security profile enabled Coming soon
Enables shared compute for groups with compliance security profile, supporting Databricks Runtime for ML and RDD APIs.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Serverless compute is now available in the Azure UK West region
Supports notebooks, jobs, pipelines, and SQL warehouses, with private connectivity.
- Databricks connector for Power Platform is generally available
Connects Databricks to Power Platform services like Power BI and Power Apps. Requires Databricks account and Power Platform license.
- Use OAuth to authenticate Databricks connections in Power Platform
Replaces personal access tokens, requires setup in Power Platform.
- Schedule deferred policy enforcement for all-purpose compute
Applies on next restart or immediately, and admins can cancel scheduled enforcements.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Instance events and instance pools system tables are now available (Public Preview)
Track instance state transitions and instance pool configurations via system.compute.instance_events and system.compute.instance_pools tables.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Databricks Container Services for standard compute is now available (Beta)
Requires Databricks Runtime 18.3 or later, allows custom Docker images in shared compute.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Power BI connections will transition to ADBC Coming soon
Replaces ODBC, requires manual update for existing connections.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Compute log delivery to volumes is now GA
Delivers Spark driver, worker, and event logs to Unity Catalog volumes, recommended for log storage.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Serverless compute is enabled by default
Eligible Google Cloud workspaces are affected, account admins no longer need to manually enable it.
- Flexible node types are now generally available
Falls back to alternative instance types when specified type is unavailable, improving launch reliability.
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- Add Azure Databricks Genie MCP server to Azure AI Foundry (Public Preview)
Enables AI agents to connect to Genie Agents and query data. Requires Azure AI Foundry setup.
- Connect Genie Agents to Microsoft Copilot Studio (Public Preview)
Requires Managed MCP Servers preview enabled.
- Configure compute to use AWS Capacity Blocks
Replaces on-demand instances, requires AWS account setup.
- Databricks Connector for Google Sheets offers additional features (Public Preview)
Saves queries within a Google Sheet spreadsheet for easy data refresh and reuse.
- Interact with Azure Databricks jobs in a Power Automate flow (Public Preview)
Adds Azure Databricks job action to Power Automate flows. Requires adding the action to a flow.
- Azure Databricks connector in Microsoft Power Platform is now GA
Replaces beta version, requires Azure Databricks account.
- Power BI Azure Databricks connector supports M2M OAuth
Replaces personal access tokens for service principals with Client credentials authentication.
- Power BI Databricks connector supports M2M OAuth
Replaces personal access tokens for service principals with Client credentials authentication.
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.