Query, list, and insert data in Google BigQuery
Google BigQuery is a Databases integration for Studio, the AI workspace where teams build and deploy AI agents. Studio's Google BigQuery integration provides 11 Google BigQuery tools that AI agents can use inside Studio's visual workflow builder. Google BigQuery connects with one-click OAuth. Free to start at seeyu.ai.
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Connect to Google BigQuery to run SQL queries, list datasets and tables, get table metadata, and insert rows.
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Open your workspace, drag a Google BigQuery block onto the workflow builder, and connect your account with one-click OAuth.
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11 Google BigQuery tools available in Studio
Run Query
Run a SQL query against Google BigQuery and return the results
Get Query Results
Fetch results for a previously submitted BigQuery job, or the next page of a Run Query result
List Datasets
List all datasets in a Google BigQuery project
Create Dataset
Create a new dataset in a Google BigQuery project
Delete Dataset
Delete a dataset from a Google BigQuery project
List Tables
List all tables in a Google BigQuery dataset
Get Table
Get metadata and schema for a Google BigQuery table
Create Table
Create a new table in a Google BigQuery dataset
Delete Table
Delete a table from a Google BigQuery dataset
List Table Data
Preview rows from a Google BigQuery table without running a query. Pair with Get Table to know the column order.
Insert Rows
Insert rows into a Google BigQuery table using streaming insert
Studio's Google BigQuery integration adds 11 Google BigQuery tools to the AI agents you build in Studio's visual workflow builder — you build it all visually. Query, list, and insert data in Google BigQuery. Teams often pair Google BigQuery with Rippling and Linear in the same agent.

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