You can flatten records in BigQuery data preparation with a single operation. This feature is generally available (GA).

You can deduplicate table data with Gemini assistance in your BigQuery data preparations. Deduplication is in Preview.

You can aggregate table data with Gemini assistance in your BigQuery data preparations. Aggregations in data preparations are in Preview.

You can flatten JSON columns in BigQuery data preparation with a single operation. This feature is generally available (GA).

Colab Enterprise notebooks in BigQuery let you do the following in Preview:

• Explain code with Gemini assistance
• Fix and explain errors with Gemini assistance

The Merchant Center best sellers report supports multi-client accounts (MCAs). If you have an MCA, you can use the aggregator_id to query the tables. The BestSellersEntityProductMapping table maps the best-selling entities to the products in the sub-accounts' inventory. This provides a consolidated view of best-selling products, which you can then join with product data for more detailed insights. This feature is generally available (GA).

BigQuery offers optional job creation mode to speed up small queries that you use in your dashboards, data exploration, and other workflows. This mode automatically optimizes eligible queries and uses a cache to improve latency. This feature is generally available (GA).

You can select multiple columns and perform data preparation tasks on them, including dropping columns. For more information, see Prepare data with Gemini. This feature is generally available (GA).

BigQuery resource utilization charts have the following changes:

• The default timeline shown in the event timeline chart has changed from one to six hours.
• Several improvements have been made to the views, including a new reservation slot usage view. This view helps monitor idle, baseline, and autoscaled slot usage.

This feature is in Preview.

Dataplex automatic discovery in BigQuery scans your data in Cloud Storage buckets to extract and catalog metadata, creating BigLake, external, or object tables for analytics and AI for insights, security, and governance. This feature is generally available (GA).

You can now enable fine-grained access control on BigQuery metastore Iceberg tables. This feature is generally available (GA).

Changed

You can get the required permissions to use BigQuery data preparation through the BigQuery Studio User (roles/bigquery.studioUser) and Gemini for Google Cloud User (roles/cloudaicompanion.user) roles, and permission to access the data you're preparing.

BigQuery data preparation no longer requires that you have the permissions granted by the following IAM roles:

• BigQuery Data Editor (roles/bigquery.dataEditor)
• Service Usage Consumer (roles/serviceusage.serviceUsageConsumer)

For more information about the required roles, see Manage data preparations.

Analytics Hub has been renamed BigQuery sharing. You'll see this new name in the documentation set and the marketing collateral. The product functionality and endpoints remain the same. For more information, see Introduction to data governance in BigQuery.

Announcement

Dataplex Catalog has been renamed BigQuery universal catalog. You'll see this new name in the product page of the Google Cloud console, the documentation set, and the marketing collateral. Universal catalog brings together the data catalog capabilities of Dataplex Catalog and the runtime metastore capabilities of BigQuery metastore. For more information, see Introduction to data governance in BigQuery.

You can now create, view, modify, and delete Apache Iceberg resources in BigQuery metastore. This feature is generally available (GA).

Feature

You can now connect BigQuery metastore to Apache Flink. This feature is generally available (GA).

You can now define a _CHANGE_SEQUENCE_NUMBER for BigQuery change data capture (CDC) to manage streaming UPSERT ordering for BigQuery. This feature is generally available (GA).

Feature

You can include data preparation tasks in BigQuery pipelines that execute your code assets in sequence at a scheduled time. This feature is in Preview.

You can now enable metadata caching for SQL translation, which can significantly reduce latency for subsequent translation requests. This feature is in preview.

Dataform now supports the CMEK organization policy.

You can configure reusable, default Cloud resource connections in a project. Default connections are available in Preview.

Changed

An updated version of ODBC driver for BigQuery is now available.

Analytics Hub egress controls and data clean room subscriptions are now available in all BigQuery editions and on-demand pricing.

BigQuery Data Transfer Service now supports custom reports for Google Ads. You can use Google Ads Query Language (GAQL) queries in your transfer configuration to ingest custom Google Ads reports and fields beyond those available in the standard reports and fields. This feature is now generally available (GA).

BigQuery is now available in the Stockholm (europe-north2) region.

Gemini in BigQuery can help you complete Python code with contextually appropriate recommendations that are based on content in the query editor. This feature is now generally available (GA).

You can now see a list of BigQuery API and service dependencies. You can also review the effects of disabling an API or service.

Feature

You can use the best sellers and price competitiveness migration guides to transition to the newer version of the reports. This feature is in preview.

Feature

BigQuery resource utilization charts provide metrics views and more chart configuration options in Preview.

You can now use the @@location system variable to set the location in which to run a query. This feature is in preview.

BigQuery data preparation provides context-aware join operation recommendations from Gemini. Data preparation is available in Preview.

We previously communicated that after January 27, 2025, a purchase would be required to use Gemini in BigQuery features. We are temporarily delaying enforcement of these procurement methods, and no purchase is required at this time. For more information, see Gemini for Google Cloud pricing.

Feature

You can now set conditional IAM access on BigQuery datasets with access control lists (ACLs). This feature is generally available (GA).

BigQuery metastore lets you access and manage metadata from a variety of processing engines, including BigQuery and Apache Spark. BigQuery metastore supports BigQuery tables and open formats such as Apache Iceberg. This feature is in preview.

The BigQuery Data Transfer Service can now transfer data from the following data sources:

• MySQL
• PostgreSQL

Transfers from these data sources are supported in Preview.

Feature

In the navigation menu, you can now go to the Settings page to set default settings that are applied when you start a session in BigQuery Studio. This feature is in preview.

The BigQuery migration assessment for Oracle now includes a total cost of ownership (TCO) calculator that provides an estimation of compute and storage costs for migrating your Oracle data warehouse to BigQuery. This feature is in preview.

Feature

We have rearranged the navigation menu into new categories. This feature is generally available (GA).

In BigQuery ML, you can now forecast multiple time series at once by using the new TIME_SERIES_ID_COL option that is available in ARIMA_PLUS_XREG multivariate time series models. Try this feature with the Forecast multiple time series with a multivariate model tutorial.

This feature is in preview.

Feature

You can now use BigQuery Omni Virtual Private Cloud (VPC) allowlists to restrict access to AWS S3 buckets and Azure Blob Storage from specific BigQuery Omni VPCs. This feature is generally available (GA).

An updated version of JDBC driver for BigQuery is now available.