Python Client for Google Cloud Bigtable

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Google Cloud Bigtable is Google’s NoSQL Big Data database service. It’s the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.

Async Data Client

v2.23.0 includes a release of the new BigtableDataClientAsync client, accessible at the import path

The new client brings a simplified API and increased performance using asyncio, with a corresponding synchronous surface coming soon. The new client is focused on the data API (i.e. reading and writing Bigtable data), with admin operations remaining in the existing client.

Feedback and bug reports are welcome at, or through the Github issue tracker.

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 Cloud Bigtable API.

  4. Setup Authentication.


Install this library in a virtualenv using pip. virtualenv is a tool to create isolated Python environments. The basic problem it addresses is one of dependencies and versions, and indirectly permissions.

With virtualenv, it’s possible to install this library without needing system install permissions, and without clashing with the installed system dependencies.

Supported Python Versions

Python >= 3.7

Deprecated Python Versions

  • Python 2.7: the last released version which supported Python 2.7 was version 1.7.0, released 2021-02-09.

  • Python 3.5: the last released version which supported Python 3.5 was version 1.7.0, released 2021-02-09.

  • Python 3.6: the last released version which supported Python 3.6 was version v2.10.1, released 2022-06-03.


pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-bigtable


pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\pip.exe install google-cloud-bigtable

Next Steps