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Integration & MCP for BigQuery

Integrate and automate your BigQuery workflows across 2,580 tools. Take full control—use your favorite LLM to orchestrate BigQuery and make your data and tools truly work for you, not the other way around.

Integrate BigQuery with 2,579 other apps
Business Intelligence

Analyze data effectively with Google BigQuery and Boost.space integration.

Google BigQuery is a cloud-based data warehouse that enables fast and scalable data analytics. By connecting Google BigQuery with Boost.space, businesses can centralize analytical workflows, automate data integration, and enhance collaboration. This integration ensures efficient processing of large datasets, providing valuable insights for decision-making.
Connection status - Active This application does not need additional settings. So you can make connection only by using your login credentials or by following the instructions in our documentation.
Centralize data in Boost.space with BigQuery integration Centralize data using ActiveCampaign integration, WooCommerce integration, Asana integration, Slack integration, BigQuery integration, BigQuery integration and 1800+ more! And 2,580 other apps
BigQuery Modules (20)

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Watch query jobs completed

Triggers when a query job has completed processing successfully or unsuccessfully.

Watch rows

Triggers when a new row is inserted in a table.

Watch tables

Triggers when a new table is created in a dataset.

Run a query

Runs a BigQuery SQL query synchronously and returns query results if the query completes within a specified timeout.

Update a table

Updates information in an existing table.

Update a dataset

Updates information in an existing dataset.

Get a table

Gets the specified table resource by table ID.

Get query results by job id

Retrieves results of a specified query.

Get a dataset

Returns the dataset specified by dataset ID.

Delete a table

Deletes the table specified by ID.

Delete a dataset

Deletes the dataset specified by ID.

Create a table

Creates a new, empty table in the dataset.

Upload data (streaming)

Creates a new row of data in a table.

Create a dataset

Creates a new dataset.

Upload a file

Uploads a new file.

Make an api call

Performs an arbitrary authorized API call.

List datasets

Lists all datasets in the specified project to which the user has been granted the READER dataset role.

List jobs

Lists all jobs that user started in the specified project.

List table data

Lists the content of a table in rows.

List tables

Lists all tables in the specified dataset.
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