Google BigQuery
Fully managed serverless data warehouse for large-scale analytics, SQL queries, streaming inserts, and BigQuery ML.
Three ways to use Google BigQuery
Ask your specialist
Pull data, take actions, or answer questions with this integration, right in a conversation.
Build a workflow
Create automated workflows that trigger on events, run on a schedule, or chain multiple tools together.
Power an app
Use this integration as a data source or action layer behind a dashboard, form, or internal tool.
Supported tools
Actions your AI agents can perform with Google BigQuery.
Batch Delete Row Access Policies
Delete all listed row access policies on a table in one call.
Cancel Job
Request cancellation of a running BigQuery job. Returns immediately — poll Get Job to confirm.
Create Dataset
Create a new BigQuery dataset in a specific location. Location is required and cannot be changed later.
Create Routine
Create a routine: scalar UDF, aggregate function, table-valued function, or stored procedure.
Create Row Access Policy
Create a row-level security policy on a table with a SQL filter predicate and grantee list.
Create Table
Create a standard, external, view, or materialized-view table. Supports time/range partitioning and clustering.