Releasesby GlyphBigQuery 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.
Also shipped Oct 27, 2026Google Cloud in October 2026 →
OpenAI GPT-6.1 Terra is now available on Unity Gateway
Databricks now supports the OpenAI GPT-6.1 Terra model via Foundation Model APIs on Unity Gateway.
Editing files in Unity Catalog volumes is now generally available
Users can now edit files stored in Unity Catalog volumes directly within the Databricks workspace file editor, eliminating the need for manual downloads and uploads.
Released pg\_pinecone
The pg_pinecone extension is now available, enabling native vector search within PostgreSQL. It allows users to perform vector searches using the local engine or offload indexing to Pinecone for larger datasets.
[Launched] Generally Available: Cost management and tagging for Claude models in Microsoft Foundry
Microsoft Foundry now provides integrated cost management and tagging for Claude models within Azure Cost Management. This update ensures Claude usage is tracked under the specific Foundry resource rather than as general SaaS spend.
Default OAuth apps for external AI agents are now generally available
Databricks now provides default OAuth client IDs for external AI agents like ChatGPT, Claude, and Cursor to connect to Databricks MCP servers. This removes the need for account admins to manually create OAuth apps.
AI Functions Unity Catalog permissions is now generally available
Unity Catalog permissions for AI Functions are now generally available. Metastore admins can now control access to specific AI functions within the system.ai schema.
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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.
Conversational analytics in Connected Sheets is generally available
Connected Sheets now supports conversational analytics, allowing users to use natural language to query BigQuery data. The Gemini side panel translates questions into SQL and inserts live database objects into workbooks.
AI.COUNT_TOKENS function is generally available
The AI.COUNT_TOKENS function, which estimates the token count of a text string, is now generally available in BigQuery.
Conversation logging for Conversational analytics in BigQuery is generally available
BigQuery now supports logging data agent conversations directly to a BigQuery table within the agent's project.
BigQuery Python user-defined functions support volume mounts in preview
Python user-defined functions in BigQuery now support volume mounts, allowing users to access dependency files directly from Cloud Storage.
BigQuery REGEXP_EXTRACT_GROUPS function is in preview
The new REGEXP_EXTRACT_GROUPS function allows users to extract substrings matching multiple capturing groups in a regular expression.
The AI.TRANSLATE function is generally available
The AI.TRANSLATE function is now generally available in BigQuery. It supports both standard Neural Machine Translation and Translation LLM capabilities for text string translation.
The AI.CHUNK_DOCUMENT function is a table-valued function that splits unstructured documents into...
The AI.CHUNK_DOCUMENT function is a table-valued function that splits unstructured documents into semantically coherent text chunks optimized for vector embeddings and Retrieval-Augmented Generation (RAG) workflows. This function is generally available (GA).