What can an AI teammate do with Google BigQuery?

A BigQuery AI teammate can run SQL queries across your datasets, read table schemas, list available tables and datasets, fetch query job results, and generate plain-language analytical reports. It can deliver scheduled summaries to Slack, Sheets, or email, and alert you when key metrics shift. Write actions like creating datasets or inserting rows require your approval.

Which BigQuery projects can my teammate access?

Your teammate can access any project your connected Google Cloud service account has permission to query. You can scope tasks to specific datasets or tables in the task instructions.

Can my teammate write SQL queries on its own?

Yes. You describe what you want in plain language and your teammate writes and runs the SQL. You can also provide the query directly if you prefer exact control.

How is a BigQuery AI teammate different from Looker or Data Studio?

Looker and Data Studio require you to build dashboards in advance and check them manually. A BigQuery AI teammate runs queries on demand, interprets the results, and delivers a plain-language summary to wherever your team works - no dashboard required.

Analytics

AI Teammate for Google BigQuery

An AI teammate that queries your BigQuery datasets, reads table schemas, and generates analytical reports.

Your AI teammate for Google BigQuery runs SQL queries, reads dataset schemas, and generates analytical reports from your cloud data warehouse. A powerful AI assistant for querying large-scale data, monitoring table health, and surfacing business insights on demand. Write actions always require your approval.

BigQuery holds massive datasets that most teams never fully explore. An AI teammate can run SQL queries, summarize results, and deliver insights on a schedule - without a data analyst having to be in the loop every time.

Connect Google BigQuery Visit Google BigQuery

What your AI teammate can do with Google BigQuery

Read-only actions run automatically. Write actions require your approval.

Read-only actions

run query

Execute SQL queries against your BigQuery datasets and return results

list datasets

Browse all datasets available in your BigQuery project

list tables

See all tables within a specific dataset

get table schema

Fetch column names, types, and field descriptions for any table

get query job results

Retrieve results from a previously submitted query job

Write actions (require approval)

create dataset

Create a new dataset in your BigQuery project

insert rows

Stream rows into a BigQuery table for near-real-time ingestion

Example workflows with Google BigQuery

Real tasks you can run on a schedule or on demand.

task

run a daily revenue summary query and post key metrics to Slack every morning

task

query user activity tables to find churn signals and export results to a Google Sheet

task

generate a weekly product usage report from event data and email it to your team

task

monitor table row counts on a schedule to catch pipeline failures before they cause downstream issues

How to connect Google BigQuery

Create a free m8tes account.

Connect Google BigQuery

Click Connect and complete the OAuth flow or enter your API key.

Create a task

Give your AI teammate a task that uses Google BigQuery. It handles the rest.

Google BigQuery AI teammate: FAQ

Common questions about using an AI teammate with Google BigQuery.

Build an AI teammate for Google BigQuery

Connect Google BigQuery to an autonomous AI teammate that reads data, runs tasks on schedule, and delivers structured output.

AI teammates — all integrations
Build a teammate that uses Google BigQuery alongside your other tools.

Related integrations

Teams that use Google BigQuery also connect these.

Snowflake

Analytics

Google Sheets

Productivity

Google Analytics

Analytics

Slack

Communication

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