Python Client for Google Cloud Bigtable
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.
In order to use this library, you first need to go through the following steps:
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\activate <your-env>\Scripts\pip.exe install google-cloud-bigtable
Read the Client Library Documentation for Cloud Bigtable API to see other available methods on the client.
Read the Product documentation to learn more about the product and see How-to Guides.
In addition to the core
google-cloud-bigtable, we provide a
with the same interface as the popular HappyBase library. Unlike HappyBase,
google-cloud-bigtable under the covers,
rather than Apache HBase.