Releasesby GlyphBigQuery generative AI functions add gemini-3.5-flash-lite, 3.6-flash and 3.7-flash
BigQuery generative AI functions now support the gemini-3.5-flash-lite, gemini-3.6-flash and gemini-3.7-flash models.
Also shipped Sep 9, 2026Google Cloud in September 2026 →
Configurable retention for system tables is in Beta
Account admins can now set an account-wide retention period from 30 to 3,650 days for supported system tables. See Configure system table data retention .
External secrets in Unity Catalog (Beta)
External secrets connect a Unity Catalog schema to AWS Secrets Manager. The secrets appear in Unity Catalog as read-only securable objects that you govern with Unity Catalog privileges. Databricks reads their values from AWS Secrets Manager on demand. See External secrets in Unity Catalog .
Celigo connector (Beta)
The Celigo connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. The connector ingests audit log events, such as create, update, and delete operations on resources, from Celigo (integrator.io) into Databricks. Authentication uses a Celigo integrator.io API token.
Anysphere Organization connector (Beta)
The Anysphere Organization connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. The connector uses the Anysphere (Cursor) Organization Admin API to ingest organization members, groups, and group members into Databricks as daily snapshots.
Anaplan connector (Beta)
The Anaplan connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. The connector ingests audit trail events and user account records from your Anaplan tenant into Databricks. Authentication uses an Anaplan CA certificate and its paired private key. See Anaplan connector .
Openflow gen 1 deployment creation retired
You can no longer create new first generation (gen 1) Openflow deployments (BYOC or Snowflake). All new deployments are second generation (gen 2), created with CREATE OPENFLOW DEPLOYMENT or the Openflow UI. Existing gen 1 deployments continue to work unchanged, and you can still create new gen 1 runtimes on an existing gen 1 deployment.
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BigQuery conversational analytics adds ML.CORRELATION in preview
Conversational analytics can now use ML.CORRELATION to calculate statistical correlations between a target column and one or more metric columns in a table.
BigQuery ML.METRICS evaluates predictions without a stored model
The preview ML.METRICS function computes classification or regression evaluation metrics on any table or query with actual and predicted values, with no need to create or reference a stored model.
You can use the AI.CAUSAL_EFFECT function to quantify the impact of specific interventions on time series data
You can use the AI.CAUSAL_EFFECT function to quantify the impact of specific interventions on time series data. This feature is in Preview .
BigQuery Data Engineering Agent integrates with BigQuery Graph
The Data Engineering Agent now uses BigQuery Graph for extra context between source and destination schemas, improving schema mapping accuracy in data engineering pipelines. It is generally available.
Conversational analytics now supports predictive modeling questions using the AI.PREDICT function
Conversational analytics now supports predictive modeling questions using the AI.PREDICT function . This feature is in Preview .
Metadata for BigQuery Graph is automatically ingested and searchable in Knowledge Catalog
Metadata for BigQuery Graph is automatically ingested and searchable in Knowledge Catalog . This feature is available in preview .
BigQuery supports WHERE clauses inside aggregate function calls in preview
Aggregate function calls can now include a WHERE clause that filters their input with a boolean expression, simplifying conditional aggregation in SQL.