Databricks on GCP
1104 releases that have landed on GCP, newest first.
- New compute policy form (Public Preview)
Simplifies writing compute policies with UI elements, replacing syntax references with dropdown menus.
- Preset date ranges for parameters in the SQL editor
Includes options like This week, Last 30 days, and Last year for timestamp and date parameters.
- Sankey visualization and table formatting improvements
Sankey charts now support node display names. Table formatting fixes duplicate $ signs.
- Sharing streaming tables and materialized views is GA
Fewer limitations for share recipients and providers.
- Jobs & Pipelines list now includes Databricks SQL pipelines
Includes materialized views and streaming tables created with Databricks SQL.
- Organization name required to enable Delta Sharing on metastore
Required for sharing with recipients outside your account, automatically updates existing provider names.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- Disable DBFS root and mounts is in Public Preview
Disables access to DBFS root and mounts in existing workspaces. Requires opting in per workspace.
- One-time job runs now correctly record the job name in usage system table
Records run names in system.billing.usage table, or Untitled if not provided.
- Serverless compute runtime updated to 17.0
corresponds to Databricks Runtime 17.0, see release notes for details
- Configure single-sign on with your identity provider (Public Preview)
Supports Okta and Microsoft Entra ID. Replaces default Google Cloud Identity setup.
- Improvements to the notebook editing experience
Adds split view and native find-and-replace tool.
- Dashboard performance optimizations and feature enhancements
Removes dataset result table view from Metric views, adds undo/redo and filtering.
- Genie column selection and query improvements
Improves column selection accuracy and cancels queries over 15 minutes. Fixes cross-geo processing and entity matching issues.
- Inline execution history in SQL editor
Shows past results without re-executing queries, links to past query profiles.
- Moving tables between Spark Declarative Pipelines on Lakeflow pipelines is now GA
Supports moving tables in Unity Catalog ETL pipelines.
- New columns available in query history system table
Adds cache_origin_statement_id, query_parameters, written_rows, and written_files columns.
- Dynamic partition overwrite with INSERT REPLACE USING (Public Preview)
Replaces part of a table with query results, matching rows by = operator on all partition columns. Requires Databricks Runtime 16.3.
- Selectively replace data with INSERT REPLACE ON (Public Preview)
Replaces part of a table with query results based on a user-defined condition, available in Databricks Runtime 17.1.
- Get this table by email. One Monday mail covering the week, filtered to the clouds and products you run. Weekly digest
- Real-time mode in Structured Streaming (Public Preview)
Enables sub-second latency data processing for operational workloads.
- New region: southamerica-east1 (São Paulo, Brazil)
Located in São Paulo, Brazil, on GCP.
- Databricks SQL version 2025.20 is now available in Current
Rolls out in stages to the Current channel, see 2025.20 features for details.
- Genie user experience and evaluation improvements
Feedback labels persist across conversations, editable parameters support date and numeric fields.
- New workflow for creating metric views from dashboards
Replaces manual creation, using AI/BI dashboard data tab.
- SQL editor updates
Supports date-range and multi-select parameters, and rearranges the run button and catalog picker to the header.
- Databricks documentation release notes feed
Provides RSS feed for product updates, usable by any feed reader.
- Explore table data using an LLM (Beta)
Generates SQL based on metadata context and table usage patterns, then runs it against the table.
- PCI DSS compliance controls now available
Meets PCI DSS v4.0 requirements for cardholder data.
- Databricks Runtime 17.1 and Databricks Runtime 17.1 ML are in Beta
Includes improvements to streaming, SQL, and connectors, with reliability and performance enhancements.
- Google Gemma 3 12B now available on Mosaic AI Model Serving
- Simplified compute form enabled by default
Applies to all-purpose and jobs compute in the Databricks UI.
- The CAN VIEW permission on SQL warehouses is now generally available
Allows viewing query history and profiles without running queries.
- Must be metastore admin to transfer share ownership for Delta Sharing
Replaces share owner transfer ability, requires metastore admin role.
- Serverless notebooks: Restore Python variables after idle termination
Restores Python variables from snapshot after idle termination. Requires reconnection to restore.
- Databricks connector for Power BI now supports the ADBC driver (Public Preview)
Replaces ODBC driver, requires configuration change.
- Git support for alerts
Tracks alert changes, requires placing alerts in a Databricks Git folder. Newly cloned alerts are paused.
- Serverless compute is now available in northamerica-northeast1, europe-west1, and asia-northeast1
Supports notebooks, workflows, and Lakeflow pipelines.
- Dashboard visualization updates
Fixes area chart error and swaps latitude and longitude in Point Maps.
- Genie interface, query, and data improvements
Editable filters display multiple values, Genie suggests popular SQL queries from notebooks.
- Parent tasks (Run job and For each) now have a separate limit
Separate limit doesn't count against overall limit, see Resource limits.
- Dashboard theme settings and page enhancements
Retains theme settings on import/export, increases max pages to 15.