Databricks on GCP
1090 releases that have landed on GCP, newest first.
- Context based ingress control is now in Public Preview
Enables account admins to set allow and deny rules based on identity, request type, and network source.
- Flexible node types are now generally available
Falls back to alternative instance types when specified type is unavailable, improving launch reliability.
- Gemini 3 Flash now available as a Databricks-hosted model
Offers speed and scale for video analysis and data extraction. Requires no setup.
- Login required to download ODBC driver
Requires login and license acceptance, except for AWS GovCloud which needs account team access.
- New resource types for Databricks Apps
Adds MLflow experiments, vector search indexes, UDFs, and Unity Catalog connections as resources.
- Confluence connector (Beta)
Ingests Confluence spaces and pages into Databricks, requires OAuth U2M configuration.
- Run the change, do not just read it. Hands-on labs in your own Databricks workspace, graded when you submit. Browse labs
- PostgreSQL connector in Lakeflow Connect (Public Preview)
Enables incremental data ingestion from various PostgreSQL databases. Requires configuration.
- Delta Sharing to external Iceberg clients is in Public Preview
Supports Snowflake, Trino, Flink, and Spark clients with zero-copy access.
- Serverless workspaces are now available in new GCP regions
Available in most GCP regions, see documentation for list.
- Dashboard visualization enhancements and fixes
Sorts charts by hidden measure fields, adds spacing to range filters, and fixes Safari cross-filtering.
- Disable legacy features settings are now GA
Disables access to DBFS, Hive Metastore, and shared compute in new workspaces.
- Genie enhancements and fixes
Shows Service Principal ID in Monitoring page, fixes API suggested questions issue, and updates Research Agent architecture.
- OpenAI GPT-5.2 now available as a Databricks-hosted model
Accessible via Foundation Model APIs on a pay-per-token basis.
- Change owner for materialized views or streaming tables defined in Databricks SQL
Done through Catalog Explorer, replacing previous methods.
- Customizable SharePoint connector (Beta)
Ingests structured, semi-structured, and unstructured files into Delta tables with customizable schema inference and parsing options.
- Discover files in Auto Loader efficiently using file events
Requires file events enabled on external locations. Replaces directory listing for efficiency.
- Jira connector (Beta)
Ingests Jira issues, comments, and attachments metadata into Databricks.
- Microsoft Dynamics 365 connector (Public Preview)
Ingests data from Dynamics 365 apps into Databricks. Requires Lakeflow Connect.
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- Databricks Runtime 18.0 and Databricks Runtime 18.0 ML are in Beta
Powered by Apache Spark 4.1.0, includes JDK 21 as default.
- Databricks Runtime maintenance updates (12/09)
Includes bug fixes, security patches, and performance improvements for versions 12.2 to 17.3.
- ForEachBatch for Spark Declarative Pipelines on Lakeflow is available (Public Preview)
Allows processing streams as micro-batches in Python. Requires Lakeflow setup.
- New columns in Lakeflow system tables (Public Preview)
New columns provide job monitoring and troubleshooting data. They are not populated for rows before December 2025.
- Expanded regional availability for C5 and TISAX compliance
Now available in all regions and with serverless compute.
- New token expiration policy for open Delta Sharing
New tokens expire in 1 year, existing ones expire on December 8, 2026.
- Vector Search reranker is now generally available
Improves retrieval quality, see documentation for usage.
- Dashboard visualization enhancements and fixes
Adds individual series labels and fixes download format options to include CSV, TSV, and Excel.
- Genie Research Agent, benchmark, and answer improvements
Genie now asks clarifying questions, explains benchmark errors, and collapses query result tables when summaries are sufficient.
- Built-in Excel file format support (Beta)
Supports reading Excel files via Spark DataFrames without external libraries.
- Dashboard visualization enhancements
Pivot table headers render faster with reduced scroll lag.
- Genie Agent (formerly Genie Space) limits and Research Agent improvements
Limits increased to 200, adds starter questions and auto-suggested benchmarks.
- Spark Declarative Pipelines on Lakeflow stream progress metrics are generally available
Supports querying event log for stream progress metrics.
- Anthropic Claude Opus 4.5 now available as a Databricks-hosted model
Accessible via Foundation Model APIs and AI Functions, supports pay-per-token and batch inference workloads.
- Configure full refresh behavior for managed database connectors
Applies to Lakeflow Connect managed database connectors, allowing scheduled full refresh snapshots and automatic recovery from unsupported schema changes.
- Real-time collaboration in notebook cells, files, and SQL editor
Multiple users can edit the same cell simultaneously, viewing each other's edits.
- Use Git CLI commands in Git folders (Beta)
Runs standard Git commands in Databricks web terminal. Requires Git folder setup.
- Automatic email notifications for expiring personal access tokens (Public Preview)
Sends emails 7 days before token expiration.
- Configure compute size for Databricks Apps (Public Preview)
Controls CPU, memory, and cost based on workload requirements.
- Dashboard visualization improvements and bug fixes
Counters now track metrics over time with sparklines. Filters apply instantly by default.
- Databricks SQL version 2025.35 is rolling out in Current
Includes new features, see documentation for details.
- Draft dashboards removed from Databricks One
Only published dashboards are now visible.