Releasesby IbisThe BigQuery Data Engineering Agent is now available in the asia-northeast1 (Tokyo) regional endpoint and...
GA2 days agoUnverifiedAdded Oct 11, 2026
The BigQuery Data Engineering Agent is now available in the asia-northeast1 (Tokyo) regional endpoint and supports the gemini-3.5-flash model. For more information, see Where Gemini in BigQuery processes your data . This feature is Generally Available (GA).
More BigQuery releases
Every BigQuery releaseThe following table types now support flexible column names by default: - Iceberg external tables and Iceberg...
The following table types now support flexible column names by default: Iceberg external tables and Iceberg managed tables in BigQuery Apache Iceberg tables managed by the Lakehouse runtime catalog This feature is generally available (GA).
You can use Gemini assistance in the BigQuery Studio SQL editor through an inline action button when you...
You can use Gemini assistance in the BigQuery Studio SQL editor through an inline action button when you select text. For more information, see Write SQL with Gemini assistance . This feature is generally available (GA).
BigQuery offers TimesFM 3.0 , a built-in time series forecasting model that implements Google Research's open...
BigQuery offers TimesFM 3.0 , a built-in time series forecasting model that implements Google Research's open source TimesFM model. You can use TimesFM 3.0 with the following functions: Use AI.FORECAST to perform time series forecasting.
Conversational analytics in BigQuery now supports the AI.CAUSAL_EFFECT function to quantify the impact of...
Conversational analytics in BigQuery now supports the AI.CAUSAL_EFFECT function to quantify the impact of specific interventions on time series data. This feature is in Preview .
Iceberg external tables and Iceberg managed tables now support flexible column names by default
Iceberg external tables and Iceberg managed tables now support flexible column names by default. This feature is generally available (GA).
The gemini-embedding-2 model works well for embedding long strings, including multilingual and unstructured...
The gemini-embedding-2 model works well for embedding long strings, including multilingual and unstructured data. It supports a mix of text, images, audio, video, and PDF files. You can use this model in the AI.EMBED , AI.SIMILARITY , and AI.GENERATE_EMBEDDING functions. This model is generally available .
The Rust SDK for BigQuery is now generally available (GA)
The Rust SDK for BigQuery is now generally available (GA).
The Data Engineering Agent now supports the gemini-3.7-flash model for the us , eu , and global...
The Data Engineering Agent now supports the gemini-3.7-flash model for the us , eu , and global multi-regional endpoints.
Also shipped on Oct 9, 2026
Google Cloud in October 2026Google Workspace connector is available in Beta
The managed Google Workspace connector is now available in Beta in Databricks Lakeflow Connect. Use the connector to ingest audit activity from Google Workspace applications and services into Databricks. The connector uses OAuth user authorization and supports incremental ingestion.
Agentic Marketplace Discovery (Public preview)
Agentic Marketplace Discovery is now available in public preview. On the public Snowflake Marketplace Discover page in Snowsight, you can switch between Agentic discovery and Marketplace search . Describe what you need to CoCo to find and compare matching listings, or search for providers and listings directly.
All AI Gateway models with prepaid credits, backend features with your coding agent, and new ways to send feedback release - Oct 09, 2026
All AI Gateway models now available with prepaid credits. You don't need to request access to frontier models in the Neon AI Gateway anymore. If you're on a pai...
Use request tags in Unity Gateway service policies (Beta)
Custom service policies in Unity Gateway can now check caller-supplied request tags, such as requiring a tag before a model request or MCP tool call proceeds. See Request tags .
Use OpenJev as the evaluator for LLM-as-a-judge service policies (Beta)
You can now select OpenJev (Qwen3.5 4B) as the evaluator model service of a custom LLM-as-a-judge service policy. OpenJev classifies content without generating output tokens, so it typically responds faster than a chat evaluator. See Use OpenJev as the evaluator .
Code execution in Genie One (Public Preview)
Genie One can now run code in a secure, isolated sandbox to take on work that goes beyond SQL, such as more advanced analyses. Code runs on your behalf using your existing permissions, so Unity Catalog governance and data access controls continue to apply. See Code execution in Genie One .