---
id: google-cloud-bigtable
version: "2.41.0"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# google-cloud-bigtable — Google Cloud Bigtable API client library

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

## Install

pip install google-cloud-bigtable
uv add google-cloud-bigtable
poetry add google-cloud-bigtable

## Description

Python Client for Cloud Bigtable
================================

|stable| |pypi| |versions|

`Cloud Bigtable`_: API for reading and writing the contents of Bigtable tables associated with
a Google Cloud project.

- `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-bigtable.svg
   :target: https://pypi.org/project/google-cloud-bigtable/
.. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-bigtable.svg
   :target: https://pypi.org/project/google-cloud-bigtable/
.. _Cloud Bigtable: https://cloud.google.com/bigtable/docs
.. _Client Library Documentation: https://cloud.google.com/python/docs/reference/bigtable/latest/summary_overview
.. _Product Documentation:  https://cloud.google.com/bigtable/docs


Async Data Client
-------------------------

:code:`v2.23.0` includes a release of the new :code:`BigtableDataClientAsync` client, accessible at the import path
:code:`google.cloud.bigtable.data`.

The new client brings a...

## AI interpretation — verify before relying

Official Python client library for Google Cloud Bigtable, enabling read and write operations on Bigtable tables within a Google Cloud project. Includes both synchronous and asynchronous data clients for flexible integration patterns.

Verdict: Production-ready, actively maintained official Google client with zero known vulnerabilities and low install friction. Permissive Apache-2.0 license removes licensing concerns. Best suited for projects already committed to Google Cloud infrastructure; verify your authentication setup and Python version (≥3.10) before deployment.

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