Releasesby GlyphIn BigQuery Studio , the left pane has been updated with new tab names
In BigQuery Studio , the left pane has been updated with new tab names. The Classic Explorer tab has been renamed to the Data tab, and the Repository tab has been renamed to the Source control tab. The Data tab now includes the Add data button and focuses on data hierarchies. These changes are generally available (GA).
Also shipped Nov 3, 2026Google Cloud in November 2026 →
[In preview] Public Preview: Extend immutability for PITR backups for Azure SQL Database and Azure SQL Managed Instance
With this enhancement, you have the ability to lock your retention to the configured PITR retention, beyond the default 7 days of immutable backups that are already available. This is especially useful for financial customers who typically have 35 days of
UI improvements now generally available for PD Reliability Platform customers
Customers on PD Reliability Platform now have an improved UI experience, including: Consolidated settings: Brings all your configuration and admin settings together in one place. New nav: Provides streamlined access to your most important capabilities. Your Subscription: Shows where the opportunities are to shift work off humans and onto AI and automation.
Claude auto-connect (beta) for PagerDuty MCP Server now in Early Access
With Claude auto-connect, members with a matching PagerDuty account are connected to PagerDuty in Claude automatically, with no sign-in screen and no identity provider (IdP) configuration. Members act as themselves in PagerDuty, with the permissions they already have there.
Dependabot version updates support Agent Package Manager
You can now keep your AI agent skills, prompts, and instructions up to date with Dependabot version updates for Agent Package Manager (APM) . Dependabot opens pull requests to update supported git dependencies declared in apm.yml and regenerates apm.lock.yaml when it’s present. This support covers version updates, not security updates.
Okta connector is available in Beta
The managed Okta connector is now available in Beta in Databricks Lakeflow Connect. Workspace admins can enable Lakeflow Connect for Okta on the Previews page . Use the connector to ingest identity and access data from Okta into Databricks, including users, groups, group memberships, app integrations, devices, policies, and administrator roles.
Trigger Lakeflow Jobs when upstream jobs complete (Beta)
You can now run a Lakeflow Job when one or more upstream jobs complete, including across workspaces attached to the same Unity Catalog metastore. Configure dependencies on the downstream job. See Trigger jobs when upstream jobs complete .
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Lakehouse caching for cross-cloud data access is generally available (GA)
Lakehouse caching for cross-cloud data access is generally available (GA). Cross-cloud caching is disabled by default. You can opt in to caching on a Lakehouse federated catalog or a BigQuery cross-cloud connection to cache remote files in your Google Cloud region. This helps reduce cross-cloud egress costs and accelerate subsequent queries.
You can now monitor the performance, adoption, latency, and costs of your data agents and their conversations...
You can now monitor the performance, adoption, latency, and costs of your data agents and their conversations by using Google Cloud Observability in BigQuery. This feature is generally available (GA).
You can use the AI.PARSE_DOCUMENT function to extract layout elements such as titles, headings, paragraphs...
You can use the AI.PARSE_DOCUMENT function to extract layout elements such as titles, headings, paragraphs, lists, tables, and images by using the Document AI layout parser to convert unstructured documents into structured JSON data. This function is generally available (GA).
The SECURE_CONTEXT function is now available in Preview
The SECURE_CONTEXT function is now available in Preview . SECURE_CONTEXT returns the value of a request-scoped secure context parameter provided at query runtime, allowing logical views to dynamically filter and evaluate data based on context variables such as user attributes, department IDs, or tenant identifiers.
The Data Engineering Agent now supports BigQuery AI, ML, and object functions and statements in generated...
The Data Engineering Agent now supports BigQuery AI, ML, and object functions and statements in generated Dataform SQLX pipelines and agent instruction files . This feature is generally available (GA).
BigQuery supports Apache Arrow format for query results
BigQuery now supports retrieving query results in Apache Arrow format. This preview feature improves serialization efficiency and retrieval speed.
BigQuery Studio Git repository integration is generally available
BigQuery Studio now supports folder-based integration with remote Git repositories for version control of SQL scripts and notebooks.
Data Engineering Agent integrates with Google Drive
The Data Engineering Agent now supports Google Drive as an input source, allowing users to use Google Sheets, CSV, or JSONL files in data pipelines.