Databricks releases, every cloud
- 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.
- Organize your work with spaces
Preserves open tabs for specific folders or projects.
- Create a least-privilege Databricks workspace
Grants Databricks a narrow set of custom IAM roles instead of broad permissions on Google Cloud.
- Solution Accelerators in Databricks Marketplace are now published as apps or notebooks
They are now categorized as apps or notebooks, with unchanged content.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Install third-party apps from Databricks Marketplace
Installs apps directly in Unity Catalog-governed workspaces, keeping provider code closed-source.
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
- Use Universal Commits to purchase Marketplace partner products
Up to 10% of Universal Commits can be used for third-party products.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - 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.
- 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.
- 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.
- Connect Lovable apps to Azure Databricks
Uses REST API and OAuth authentication. Requires machine-to-machine authentication setup.
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- Connect Lovable apps to Databricks
Uses REST API and OAuth machine-to-machine authentication.
- Databricks Marketplace listing creation wizard
Guides setup of general info, data assets, and attributes in separate steps.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - 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) - 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) - Select tables and create pivot tables in Google Sheets
Imports data via Databricks Connector, selecting from Catalog Explorer.
- View and restore your recent workspace tab sessions
Restores up to 10 recent sessions.
- Login required to download ODBC driver
Requires login and license acceptance, except for AWS GovCloud which needs account team access.
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.