AI Models & Assistants / Knowledge library
BigQuery (ChatGPT plugin)
Work with BigQuery through the provider-native BigQuery connector, including projects, datasets, tables, jobs, routines, models, row access policies, IAM, and query results.
Why learn BigQuery (ChatGPT plugin)?
Brings BigQuery capabilities into ChatGPT so the assistant can work with that service's context.
The problem it solves
Reduces manual handoffs between ChatGPT and BigQuery.
Where it came from
BigQuery (ChatGPT plugin): Work with BigQuery through the provider-native BigQuery connector, including projects, datasets, tables, jobs, routines, models, row access policies, IAM, and query results. Directory record checked 2026-10-12. Availability depends on region, plan, permissions and the publisher. Directory presence does not establish a quality ranking.
Build your understanding
Work through these exercises in order. Try the task before opening a reference.
- Explain what BigQuery (ChatGPT plugin) does.
- Identify a use case for BigQuery (ChatGPT plugin).
- Describe a limitation of BigQuery (ChatGPT plugin).
- Name a compatible tool for BigQuery (ChatGPT plugin).
- Compare BigQuery (ChatGPT plugin) against an alternative.
Documentation and sources
- Primary source / model card (chatgpt.com)
Catalog research notes
- See the AI Workbench for source dates, pricing evidence and configuration details.