Releasesby GlyphTable 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 .
Also shipped Aug 12, 2026Google Cloud in August 2026 →
Define business concepts with Pages (Beta)
You can now use Pages to give business terms, acronyms, and KPIs a single governed definition. Part of Unity Catalog semantics , Pages form the human-modeled layer of the Genie Ontology that Genie One draws on to ground its answers. See Pages .
Custom trace views in the MLflow trace explorer are in Beta
You can now build custom trace views in the Databricks MLflow trace explorer. Describe the layout you want in plain language, and Genie generates a reusable view that surfaces the trace fields, metrics, and feedback controls most relevant to your review workflow. See Build a custom trace view .
Google Search Console connector is available in Beta
The managed Google Search Console connector is now available in Beta in Databricks Lakeflow Connect. Use it to ingest search performance data, site metadata, and sitemap information from Google Search Console into Databricks.
Glean connector in Lakeflow Connect (Beta)
You can now ingest data from Glean into Databricks using the managed Glean connector in Lakeflow Connect. The connector ingests company-wide usage insights for search, Assistant, and agents, along with the shortcuts (go links) defined in your Glean deployment, using a Glean Client API token. This feature is in Beta . See Glean connector .
Amplitude connector (Beta)
The Amplitude connector in Lakeflow Connect is now in Beta. Ingest product analytics event data along with event, cohort, and annotation metadata from Amplitude. See Amplitude connector .
Retirement: Containerized data connector agent for the Microsoft Sentinel solution for SAP applications
On September 14, 2026 we will retire the containerized data connector agent for the Microsoft Sentinel solution for SAP applications. After this date the agent will be permanently disabled and will stop sending SAP logs to Microsoft Sentinel.The SAP agent
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BigQuery 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.
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.