119 releases · 16 this month
Effective January 31, 2027, the BigQuery Data Transfer Service for Shopify will no longer support the legacyMode field in DeliveryProfile and the permitSkuSharing field in FulfillmentService.
BigQuery query text heatmap now allows users to view and navigate through a hierarchical list of context references, such as nested function calls or view references, for stage steps in general availability.
In BigQuery Studio , the left pane has been updated with new tab names. The Classic Explorer tab has been renamed to the Data tab, and the Repository tab has been renamed to the Source control tab. The Data tab now includes the Add data button and focuses on data hierarchies. These changes are generally available (GA).
Lakehouse supports the following remote catalog providers for cross-cloud data access. This feature is generally available (GA). Databricks Unity Catalog on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud AWS Glue Data Catalog on AWS Snowflake Horizon Catalog on AWS, Microsoft Azure, or Google Cloud Workday Data Lake on AWS or Google Cloud This...
BigQuery now supports retrieving query results in Apache Arrow format. This preview feature improves serialization efficiency and retrieval speed.
The AI.COUNT_TOKENS function, which estimates the token count of a text string, is now generally available in BigQuery.
The new REGEXP_EXTRACT_GROUPS function allows users to extract substrings matching multiple capturing groups in a regular expression.
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.
Google Cloud announced the general availability of AI.CHUNK_DOCUMENT in BigQuery, a table-valued function that splits unstructured documents into semantically coherent text chunks optimized for vector embeddings and RAG workflows.
Conversational analytics in BigQuery is now available in the following locations: northamerica-northeast1 (Montréal) northamerica-northeast2 (Toronto) For more information, see Locations .
You can now use reusable column aliases in GoogleSQL. This feature lets you define an alias for an expression in the SELECT clause of a SQL query and immediately reference that alias within the same SELECT list or in the WHERE clause of the same query block.
Conversational analytics now lets you create a conversation with all of the data sources in multiple projects, or create a conversation with a dataset . These features are generally available (GA).
BigQuery generative AI functions now support the gemini-4-argon model. This model is generally available .
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).
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).
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 specific interventions on time series data. This feature is in Preview .
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 .
BigQuery pipelines provides support for automated metadata enrichment and Knowledge Catalog data quality scorecard integration. In addition, the Data Engineering Agent can proactively generate semantic metadata for your pipeline assets. For more information, see Metadata enrichment and data quality scorecard integration .
BigQuery jobs explorer layout and filtering improvements, including status counts in the filter bar, resource grouping , and timeline metric charts , are generally available (GA).
The AI.KEY_DRIVERS function is now generally available (GA). You can use the AI.KEY_DRIVERS function to identify segments of data that cause statistically significant changes to a summable metric.
In the BigQuery Studio query editor, the Query results table now keeps the row numbers visible on the left as you scroll horizontally. This helps you maintain context and track data across wide tables. This feature is generally available (GA).
You can now publish a BigQuery data agent in Gemini Enterprise by registering the agent with Agent Registry and importing it using default Google-managed credentials.
The Query results pane now shows a short history of recent runs for a query, including multi-statement queries, without switching to the Job history tab. It is generally available.
You can add unit tests to pipelines to validate your SQL transformation logic against mock datasets. Unit tests for pipelines are generally available (GA).
The migration lineage service visualizes data flow and connections in a source database to help plan a BigQuery data warehouse migration.
Aggregate function calls can now include a WHERE clause that filters their input with a boolean expression, simplifying conditional aggregation in SQL.
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.
BigQuery generative AI functions now support the gemini-3.5-flash-lite, gemini-3.6-flash and gemini-3.7-flash models.
Conversational analytics now supports predictive modeling questions using the AI.PREDICT function . This feature is in Preview .
Conversational analytics now supports questions about market basket analysis . This feature is generally available (GA).
BigQuery Graph is generally available (GA). BigQuery Graph now includes support for the CALL graph query statement , and the following path inspection GQL functions : IS_ACYCLIC IS_SIMPLE IS_TRAIL .
You can now train models using XGBoost version 2.1 by using the XGBOOST_VERSION option. BigQuery uses the XGBoost 3.1.0 library to load and make predictions on XGBoost models. This feature is generally available .
You can now view real-time logs for your Python UDFs in Cloud Logging. This feature is generally available .
BigQuery data governance tags are supported in Terraform. This feature is in Preview .
Teams can monitor the performance, adoption, latency and costs of BigQuery data agents and their conversations using Google Cloud Observability.
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 .
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.
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 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).
Both models work in all BigQuery generative AI functions and are available on the us, eu and global multi-regional endpoints.
The JDBC driver for BigQuery now supports OpenTelemetry for tracing and logging, with automatic exports to Google Cloud Observability, helping monitor and troubleshoot database interactions. It is generally available.
You can audit when users download query results by using the BigQuery console. Data Access audit logs for the tabledata.list method now include a uiDownloadRequest field to indicate whether the request was triggered by a UI download. This feature is generally available (GA).
Klaviyo transfers to BigQuery can now load data incrementally instead of in full.
BigQuery dataset insights is generally available (GA). BigQuery dataset insights helps you discover and visualize relationships between tables and automatically generate cross-table queries.
Lakehouse : Cross-cloud Lakehouse now supports integration with SAP Business Data Cloud (BDC) in Preview. This update includes the following features: Federation from SAP BDC: Create Delta Sharing catalogs in Lakehouse to automatically synchronize shares, schemas, and tables from SAP BDC.
BigQuery supports data governance tags , which let you enforce column-level security and data masking. Data governance tags are a type of Resource Manager tag that you can attach to sensitive columns and use in BigQuery data policies to grant conditional access to your users. This feature is in Preview .
Conversational analytics now supports the AI.AGG function . This function is in Preview .
Incremental data transfers from Salesforce in the BigQuery Data Transfer Service are now generally available.
Google Cloud's serverless data warehouse.
Other Google Cloud products: AlloyDB, Cloud Run, Cloud SQL, Dataflow, Dataplex Universal Catalog, Gemini API, Gemini CLI, Gemini Enterprise, Gemini Enterprise Agent Platform, Google Kubernetes Engine, Looker, Pub/Sub, Spanner
| Release-notes page | Site | Feed |
|---|---|---|
| BigQuery docs.cloud.google.com | docs.cloud.google.com | RSS |
| Cloud SQL for MySQL docs.cloud.google.com | docs.cloud.google.com | RSS |
| Cloud SQL for PostgreSQL docs.cloud.google.com | docs.cloud.google.com | RSS |
| Colab Enterprise docs.cloud.google.com | docs.cloud.google.com | None |
| Dataflow docs.cloud.google.com | docs.cloud.google.com | RSS |
| Dataproc docs.cloud.google.com | docs.cloud.google.com | RSS |
| Firestore docs.cloud.google.com | docs.cloud.google.com | None |
| Gemini Enterprise – Business edition release notes support.google.com | support.google.com | None |
| Google Cloud all release notes docs.cloud.google.com | docs.cloud.google.com | RSS |
| Pub/Sub docs.cloud.google.com | docs.cloud.google.com | RSS |
| Vertex AI / Agent Platform docs.cloud.google.com | docs.cloud.google.com | RSS |
| Vertex AI generative AI docs.cloud.google.com | docs.cloud.google.com | None |
| Gemini Apps' release updates & improvements gemini.google | gemini.google | None |
Releasesby Glyph