---
id: google-cloud-bigquery-storage
version: "2.40.0"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# google-cloud-bigquery-storage — Google Cloud Bigquery Storage API client library

License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI

## Install

pip install google-cloud-bigquery-storage
uv add google-cloud-bigquery-storage
poetry add google-cloud-bigquery-storage

## Description

Python Client for BigQuery Storage
==================================

|stable| |pypi| |versions|

`BigQuery Storage`_: 

- `Client Library Documentation`_
- `Product Documentation`_

.. |stable| image:: https://img.shields.io/badge/support-stable-gold.svg
   :target: https://github.com/googleapis/google-cloud-python/blob/main/README.rst#stability-levels
.. |pypi| image:: https://img.shields.io/pypi/v/google-cloud-bigquery-storage.svg
   :target: https://pypi.org/project/google-cloud-bigquery-storage/
.. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-bigquery-storage.svg
   :target: https://pypi.org/project/google-cloud-bigquery-storage/
.. _BigQuery Storage: https://cloud.google.com/bigquery/
.. _Client Library Documentation: https://cloud.google.com/python/docs/reference/bigquerystorage/latest/summary_overview
.. _Product Documentation:  https://cloud.google.com/bigquery/

Quick Start
-----------

In order to use this library, you first need to go through the following steps:

1. `Select or create a Cloud Platform project.`_
2. `Enable billing for your project.`_
3. `Enable the BigQuery Storage.`_
4. `Set up Authentication.`_

.. _Select or create a...

## AI interpretation — verify before relying

This package provides a Python client library for Google Cloud BigQuery Storage, enabling efficient read and write access to BigQuery datasets through a dedicated storage API.

Verdict: A production-ready, actively maintained client library for BigQuery Storage with low install friction and no known vulnerabilities. The Apache-2.0 license is permissive, and the package supports current Python versions (3.10–3.14). Suitable for projects requiring efficient bulk data access to BigQuery.

[View on SkillFed](https://skillfed.io/packages/google-cloud-bigquery-storage) · [View on PyPI](https://pypi.org/project/google-cloud-bigquery-storage/)