Databricks releases, every cloud
- Data Classification now scans Unity Catalog views (Beta)
Scans Unity Catalog views in addition to tables, using the same detection engine, and is currently in Beta.
- 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.
- Connect to the Databricks Genie app in Microsoft Teams with your workspace URL (Public Preview)
Replaces server hostname with workspace URL for connection.
- 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.
- Data Classification is now available by default for additional compliance standards
Requires compliance security profile with C5, TISAX, or IRAP controls.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Data Classification is now available by default for some workspaces with the compliance security profile enabled
Requires compliance security profile and specific controls like HIPAA or HITRUST.
- 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.
- Databricks Add-in for Excel support for all compliance security profile standards
Supports all Databricks compliance security profiles. Requires Public Preview.
- View run history for scheduled refreshes in Google Sheets
Shows Run ID, start time, and success status for each run.
- HIPAA support for the Databricks Add-in for Excel
Available for workspaces with HIPAA compliance across all supported regions.
- Databricks Excel Add-in requires workspace preview enablement
Enabled from the Previews page by a workspace admin.
- Databricks Data Classification is now GA
Automatically classifies and tags sensitive data in Unity Catalog using AI.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Connect Lovable apps to Databricks
Uses REST API and OAuth machine-to-machine authentication.
- Upcoming breaking change: default behavior when deleting a Unity Catalog pipeline Coming soon
Deletes now retain associated tables by default, set cascade=true to remove them.
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) - Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- 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) - Change to use_case field in VPC endpoint API responses Coming soon
Changes from WORKSPACE_ACCESS to GENERAL_ACCESS, see API docs for details.
- Select tables and create pivot tables in Google Sheets
Imports data via Databricks Connector, selecting from Catalog Explorer.
- Login required to download ODBC driver
Requires login and license acceptance, except for AWS GovCloud which needs account team access.
- Data Classification (Public Preview)
Supports all catalog types, consolidates results into a system table.
- Data classification system table Beta
Captures sensitive data detections at column level across enabled catalogs.
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