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Introduction to data export | BigQuery

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This document describes the different ways of exporting data from BigQuery.

For more information about data integrations, see Introduction to loading, transforming, and exporting data.

You can export query results to a local file (either as a CSV or JSON file), Google Drive, or Google Sheets. For more information, see Export query results to a file.

You can export your BigQuery tables in the following data formats:

You can also export your BigQuery tables as Protobuf columns when working with nested data structures that require object type safety, or if you need a wider language support.

You can download BigQuery Studio code assets, such as saved queries or notebooks to maintain a local copy of your assets. For more information on downloading your BigQuery code assets, see the following:

• Download saved queries
• Download notebooks

You can set up reverse ETL (RETL) workflows (preview) to move data from BigQuery to the following databases:

• Export to Bigtable
• Export to Spanner
• Export to Pub/Sub

• Learn about quotas for export jobs.
• Learn about BigQuery storage pricing.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2025-08-07 UTC.

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