General UI
Personal appearance preferences (theme and display settings) will now persist across sessions.
Also shipped Jul 27, 2026Omni in July 2026 →
You can discover commercial BigQuery sharing listings on Google Cloud Marketplace with the Marketplace filter
You can discover commercial BigQuery sharing listings on Google Cloud Marketplace with the Marketplace filter. For more information, see Subscribe to a Cloud Marketplace-integrated listing . This feature is generally available (GA).
BigQuery APPENDS and CHANGES change history functions are GA
The APPENDS and CHANGES functions return the rows appended to or changed in a table over a time range, useful for incremental processing and auditing.
Google-developed ODBC driver for BigQuery is generally available
Applications can connect to BigQuery using the Google-developed Open Database Connectivity (ODBC) driver, now generally available.
BigQuery dataset insights is generally available (GA)
BigQuery dataset insights is generally available (GA). BigQuery dataset insights helps you discover and visualize relationships between tables and automatically generate cross-table queries.
AI_EXTRACT and AI_PARSE_DOCUMENT support for client-side encrypted stages and network-restricted accounts (Preview)
With this preview release, AI_EXTRACT and AI_PARSE_DOCUMENT support documents stored on stages that use client-side or server-side encryption, including in accounts that use PrivateLink or other network policies that restrict public network access to stages. For more information, see the following topics:
Custom incremental dynamic tables (General availability)
Custom incremental dynamic tables are now generally available. For more information, see Custom incrementalization .
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Administration
AI credit controls for embed entity groups are now generally available. AI Fixed an issue where the Workload Identity Federation (WIF) role prefix wasn't properly configured across all AI-calling services, which could cause authentication failures when using Google Gemini Enterprise Platform (Vertex) as a custom AI model provider.
API
- Added an endpoint for bulk adding and removing folder labels . Added an endpoint for retrieving an embed entity group's AI credit usage . Added a new API endpoint that allows you to replace data in an uploaded dataset . Added support for .composite_topic file names in model YAML endpoints.
Content
Added type filters to the My Activity page to help you narrow down activity records by type, and removed the classic view option.
Dashboards
- Added a Mapping tab to the properties panel for dashboard query tiles. This centralized tab allows you to map filters and controls to the query. Increased the maximum number of queries allowed in an app from the previous limit to 100. Embedded dashboards will now use the new dashboard editor by default .
Embedding
- Added dashboardGeneratedAt and tileRanTimestamp as embed URL uiSettings options. Per-user AI credit limits can now be set through the userSettings embed URL parameter .
Integrations
- Added instructions for GitHub App authentication to the GitHub integration setup guide. Added instructions for authenticating a dbt git repository with the Omni GitHub App to the dbt setup guide .
Modeling
- Added default_group_by as a model-level parameter. This allows you to control how measureless queries in the model are grouped by default. Updated the Content Validator documentation with information about automatic issue suppression in the model IDE.
Visualization
Added the ability to position and hide the legend in map visualizations.