Releasesby GlyphBigQuery pipelines add automated metadata enrichment in preview
Semantic metadata defined in SQLX configurations now syncs with Knowledge Catalog, and the Data Engineering Agent can generate this metadata from your intent or context.
Also shipped Aug 13, 2026Google Cloud in August 2026 →
Sharing tables backed by default storage will be enabled by default for all accounts
OpenSharing support for tables backed by default storage is generally available and on by default for most accounts. For most Enterprise or Premium tier accounts, Databricks will enable it automatically in mid-September 2026, and by early 2027 for the rest.
Expanded networking billing for OpenSharing SecureConnect
Databricks will be expanding networking billing for OpenSharing SecureConnect. Today, data providers are billed for data transfer (egress) when recipients access shared data through SecureConnect. Additional charge types and access scenarios, including charges billed to recipients, are planned.
OpenSharing SecureConnect will be available by default for all accounts
OpenSharing SecureConnect is generally available and available by default for accounts on the Premium plan. For accounts on the Enterprise plan, Databricks will enable it automatically in mid-September 2026, and by early 2027 for the rest.
Block or redact sensitive data in requests and responses
The Sensitive Data Detection guardrail (Beta) detects structured sensitive data (such as Social Security numbers, credit card numbers, IBANs, and phone numbers) and either blocks the interaction or redacts the matched values in place.
Smart Routing: Cut AI costs by routing each task to the right model
Smart Routing (Beta) automatically picks the right model and agent harness for each task, based on complexity, permissions, and budget. It shifts routine work to lower-cost models and reserves frontier models for hard problems, and every routing decision is visible and auditable.
SendGrid connector (Beta)
The SendGrid connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. The connector ingests the SendGrid subuser directory and IP access-management activity for the parent account and each subuser into Databricks.
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Table Explorer behavior has moved to the Reference panel
Table Explorer behavior has moved to the Reference panel. Table Explorer has been deprecated. For more information, see "Use the Reference panel" in Run a query .
Query templates for data clean rooms are generally available (GA)
Query templates for data clean rooms are generally available (GA). Query templates allow data clean room owners and publishers to share predefined queries without exposing the underlying tables and views. Additionally, table parameters in table-valued functions (TVFs) are generally available (GA).
BigQuery supports gemini-3.1-flash-lite and gemini-3.5-flash GA models
Both models work in all BigQuery generative AI functions and are available on the us, eu and global multi-regional endpoints.
BigQuery adds ML.TREND, ML.SEASONALITY and ML.DETECT_CHANGE_POINTS in preview
New table-valued functions in the query editor and conversational analytics identify trends, repeating seasonal patterns and structural change points in time series data.
BigQuery Graph core processing limited to Enterprise editions from April 26, 2027
Standard edition and on-demand billing support for BigQuery Graph core graph processing is deprecated, with processing restricted to Enterprise and Enterprise Plus from April 26, 2027. Graph measures remain available except in Standard edition.
The run_bq_command tool exposes the bq command-line tool within the Cloud CLI remote MCP server
The run_bq_command tool exposes the bq command-line tool within the Cloud CLI remote MCP server. AI agents can now execute advanced BigQuery operations, such as job scheduling, job management, and reservation management, through a managed MCP endpoint. For more information, see Use the Cloud CLI remote MCP server . This feature is in Preview .
BigQuery cross-cloud connections query AWS, Azure and Salesforce in preview
Cross-cloud connections query data in AWS, Azure and Salesforce Data 360 from all BigQuery regions, support more BigQuery features and are more cost efficient than BigQuery Omni connections.