You can use the BigQuery Data Transfer Service to transfer metadata from the following data sources into Knowledge Catalog:
This feature is in Preview.
The Data Agent Kit extension is an extension for agent coding tools, such as VS Code, Antigravity, and Cursor, that lets you interact with BigQuery resources directly in your agent environment. You can use this extension to browse datasets, manage pipelines, run queries, and prompt your agent to perform other BigQuery tasks directly in your preferred IDE. This feature is in Preview.
Support for hybrid search (using the VECTOR_SEARCH function to combine a
semantic search with a lexical (keyword) search) has been temporarily disabled.
We are working to restore this feature as soon as possible.
An updated version of the Simba ODBC driver for BigQuery is now available.
You can now perform multi-level aggregation in GoogleSQL, which lets you use an aggregate function as an argument to another aggregate function. This feature is in Preview.
]]>For data transfers from Facebook Ads,
support for the AdInsightsMMM report has been temporarily disabled. Existing
data transfers from Facebook Ads that include the AdInsightsMMM report will
continue to run, but the transfer won't include data from the AdInsightsMMM
report.
This change is due to schema changes in the Facebook Ads API.
For more information, see July 06, 2026.
]]>You can now use pre-trained TimesFM models in BigQuery ML
directly from
Connected Sheets.
These models let you create
forecasts and detect anomalies in your data by using the
AI.FORECAST
and
AI.DETECT_ANOMALIES
functions. This feature is
generally available
(GA).
You can specify an optional principal property on
BigQuery reservation assignments to
route queries to specific reservations based on the identity of the user,
service account, or third-party identity executing the job.
Effective March 9, 2026, new users are required to have a Cloud Billing account to use the BigQuery Migration Service. This change applies to users starting new projects using BigQuery Migration Service features, such as SQL translation and migration assessment.
After May 18, 2026, all users are required to have a Cloud Billing account to use the BigQuery Migration Service.
Pricing for the BigQuery Migration Service remains without charge.
You can now grant data preparations and pipelines access to additional services when running or scheduling them with user credentials for a Google Account. You can grant data preparations access to Google Drive, and grant pipelines access to Google Drive, Bigtable, and Knowledge Catalog. Extended access options are available in Preview.
]]>An updated version of the Simba ODBC driver for BigQuery is now available.
You can now use the VECTOR_SEARCH function
to combine a semantic search with a lexical (keyword) search. This is known as a
hybrid search. For tables with autonomous embedding generation enabled, you can
use HYBRID mode in the AI.SEARCH
function to simplify your search syntax.
You can also extend a vector index to include keyword information to improve the speed of the lexical search portion of a hybrid search.
This feature is in Preview.
]]>You can now configure your BigQuery pipelines to automatically trigger executions based on updates to specific BigQuery tables. For more information, see Trigger-based scheduling. This feature is in Preview.
Conversational analytics in BigQuery is now generally available (GA) and includes the following features:
Agents can use the following AI functions to answer your questions:
Conversational analytics supports US MREP and EU MREP locations that govern the storage of agent and conversation resources, and the location used for ML processing.
You can also create a conversation with a dataset. This feature is in preview.
]]>You can use the BigQuery Data Transfer Service to transfer metadata from the following data sources into Knowledge Catalog:
This feature is in Preview.
]]>You can enable autonomous embedding
generation on new or existing
tables that you make with the CREATE
TABLE
or ALTER
TABLE
statements. When you do this, BigQuery maintains a column of embeddings on the
table based on a source column. When you add or modify data in the source
column, BigQuery automatically generates or updates the embedding column for
that data.
This feature is generally available (GA).
]]>Table Explorer behavior is moving to the Reference panel. This transition will occur in July 2026 or later. For more information, see Table Explorer.
]]>Use Gemini Cloud Assist to analyze your SQL queries and receive recommendations to optimize query performance in BigQuery. This feature is available to customers who use BigQuery editions. This feature is in Preview.
Support for configuring daily token quotas for BigQuery generative AI functions has been temporarily disabled. We are working to restore this feature as soon as possible.
You can resize the width of table columns in BigQuery Studio for BigQuery listings such as datasets, repositories, job history, and connections. To resize a column, hover over the column divider and drag it to your preferred width.
You can use Gemini Code Assist directly within the BigQuery Jobs explorer, Job details, Job history, and Capacity management pages to help you troubleshoot and analyze performance issues. For more information, see Troubleshoot job performance. This feature is in Preview.
]]>BigQuery AI functions can use
ObjectRef values directly as input,
without calling the OBJ.GET_ACCESS_URL function.
This feature is
generally available
(GA).
You can monitor performance, analyze capacity, and optimize costs with Gemini Cloud Assist in BigQuery. This feature is in Preview.
Support for the
AI.KEY_DRIVERS function
is restored. You can use the
AI.KEY_DRIVERS function to identify segments of data that cause statistically significant changes to a summable metric.
This feature is in Preview.
]]>BigQuery continuous queries now support the following aggregation functions:
Support for these functions is in Preview.
]]>You can analyze data lineage with Gemini Cloud Assist in BigQuery. This feature is in Preview.
You can now use Gemini Cloud Assist to schedule queries. This feature is in Preview.
You can use the Google-developed, open source Java Database Connectivity (JDBC) driver for BigQuery to connect your Java applications to BigQuery. This feature is generally available (GA).
You can use custom constraints with Organization Policy to provide more granular control over specific fields for some BigQuery sharing resources. For more information, see Manage Sharing data exchanges and listings using custom constraints. This feature is generally available (GA).
IAM deny policies for BigQuery are now generally available (GA).
You can manage and limit the costs associated with BigQuery generative AI functions by configuring daily token quotas. Token-based cost management for BigQuery generative AI functions is generally available (GA).
]]>BigQuery fluid scaling, which provides per-second billing with no minimum duration for autoscaling reservations, is generally available (GA).
]]>Remote functions now support a custom path in the endpoint URL. You can reuse a single Cloud Run service for multiple BigQuery remote functions by specifying different path suffixes on the same endpoint. This feature is generally available (GA).
]]>The Facebook Ads connector for the BigQuery Data Transfer Service now supports data transfers from the following Facebook Ads reports:
AdInsightsMMMAdsAdCreativesAdSetsCampaignsAdImagesAdLabelsBusinessesCustomAudiencesAn updated version of the Simba ODBC driver for BigQuery is now available.
]]>The Data Science Agent (DSA) for Colab Enterprise and BigQuery is now generally available (GA).
]]>BigQuery can re-execute instructions (queries) to try to proactively detect performance, correctness, or functional regressions.
These re-executions will have no side effects and will happen with no additional cost or resource consumption.
Data access logs may show bigquery-adminbot@system.gserviceaccount.com when BigQuery re-executes an instruction.
Python UDFs are now Generally Available (GA).
You can use Python UDFs to implement a scalar function in Python and use it in a SQL query. Python UDFs let you install third-party libraries from the Python Package Index (PyPI) and let you access external services using a Cloud resource connection.
You can now use the
AI.AGG function
to semantically aggregate unstructured input data based on natural language
instructions. This feature is in
Preview.
You can group reservations together to prioritize idle slot sharing within the group. Reservations within a reservation group share idle slots with each other before making them available to other reservations in the project, giving you more control over slot allocation for high-priority workloads. This feature is generally available (GA).
You can now use a custom organization policy to allow or deny specific operations on workload management resources including reservations, assignments, capacity commitments, and BI reservations. This feature is in Preview.
You can manage and version control SQL scripts and notebooks with BigQuery Studio Git repositories, which provide a streamlined, folder-based integration with remote Git repositories. This feature is in preview.
]]>The
AI.DETECT_ANOMALIES function
supports calling the function with a single input table that holds both the
historical and target data. This feature is
generally available
(GA).
Support for the AI.KEY_DRIVERS function
preview
has been temporarily disabled. We are working to restore this feature as soon as
possible.
You can now use the
AI.COUNT_TOKENS function
to estimate the token count of text input that you provide. For some generative
AI functions, you can view
the total number of input, output, thought, and cache tokens for each modality
processed by the query. These features are in
Preview.
Starting August 11, 2026, the billing label for the BigQuery Data Transfer
Service SKU will be updated from goog-bq-feature-type: DATA_TRANSFER_SERVICE
(uppercase) to goog-bq-feature-type: data_transfer_service (lowercase) to
provide a more unified and complete view of your costs. This update expands the
scope of the label to cover all costs associated with the BigQuery Data Transfer
Service, including data transfer orchestration, data load operations, and data
merge operations.
To ensure uninterrupted cost visibility, update your billing exports, dashboards, and reporting queries to include both these labels.
]]>You can configure BigQuery sharing listings for multiple regions, which allows you to share datasets and linked replicas across global geographies simultaneously. For more information, see Create a listing. This feature is generally available (GA).
Starting June 1, 2026, due to changes in Google Ads data retention policies, the BigQuery Data Transfer Service connectors for Google Ads, Search Ads 360, and Google Analytics 4 will stop populating data for backfill runs with dates earlier than 37 months from the current date.
For more information about the changes to the Google Ads data retention policies, see New Data Retention Policy for Google Ads starting June 1, 2026.
]]>Starting May 7, 2026, new transfer configurations that transfer data from Google Ads using the BigQuery Data Transfer Service will require Multi-factor authentication (MFA) for individual user authentication. For more information, see May 7, 2026.
]]>Strict act-as mode is enforced globally for all Dataform repositories, requiring the use of a custom service account or user credentials for running Dataform workflows, BigQuery pipelines, notebooks, and data preparations.
You can now use the
VECTOR_INDEX.STATISTICS function to calculate how much an indexed table's data has drifted between when a
vector index was created and the present. If table data has changed enough
to require a vector index rebuild, you can use the
ALTER VECTOR INDEX REBUILD statement
to rebuild the vector index without downtime. These features are
generally available
(GA).
You can now use the PARTITION BY clause of the
CREATE VECTOR INDEX statement
to partition TreeAH vector indexes.
Partitioning enables partition pruning and can decrease I/O costs. This feature
is Generally Available.