google-cloud-bigtable
Google Cloud Bigtable API client library
Decision gist · record as of 2026-08-14
Yes. This is the official, actively maintained client for Google Cloud Bigtable with no known vulnerabilities, low install friction, and permissive licensing. Install it if you need to access Bigtable from Python. Ensure your codebase is async-first if you plan to use the async client; otherwise use the synchronous API. Requires Python 3.10+.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Google Cloud credentials configured (via GOOGLE_APPLICATION_CREDENTIALS environment variable or Application Default Credentials).
- Requires Python >= 3.10.
- Low friction install with a pure-wheel distribution.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive). You can use, modify, and distribute this library freely in commercial and private projects, provided you include the license notice.
last release 2026-07-16 (29 days) · last repo commit 2026-08-14 · 5,371 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 89,249,220 downloads/mo, #377 on PyPI
Alternatives
Verify before relying
pip install google-cloud-bigtable
from google.cloud import bigtable
client = bigtable.Client(project='my-project')
instance = client.instance('my-instance')
table = instance.table('my-table')- Performance characteristics and throughput limits of the async client compared to synchronous operations
- Whether the async client is production-ready or still considered experimental despite v2.23.0 release
- Specific Bigtable table size or row count limits when using this client
What it is and what it does
google-cloud-bigtable is the official Python client for Google Cloud Bigtable, Google's fully managed NoSQL database service. It provides both synchronous and asynchronous interfaces for reading, writing, and managing data in Bigtable tables within a Google Cloud project. The library handles authentication, connection pooling, and protocol buffer serialization automatically.
The package includes a newer async client (BigtableDataClientAsync) introduced in v2.23.0 that uses asyncio for improved performance in async-first codebases, while admin operations remain in the synchronous client. It depends on google-api-core, google-auth, grpcio, and related Google Cloud libraries to handle gRPC communication and authentication. The library is actively maintained, supports Python 3.10 through 3.14, and includes built-in logging support for debugging and monitoring RPC events.
Use it for
- Read and write time-series data or analytics events at scale in a managed Bigtable instance
- Build async-first applications that need low-latency access to Bigtable data using the BigtableDataClientAsync
- Integrate Bigtable as a backend for high-throughput applications requiring columnar storage and strong consistency
- Perform batch operations and administrative tasks (table creation, schema management) on Bigtable instances
- Monitor and debug Bigtable client behavior using structured logging with configurable scopes
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is the official, actively maintained client for Google Cloud Bigtable with no known vulnerabilities, low install friction, and permissive licensing. Install it if you need to access Bigtable from Python. Ensure your codebase is async-first if you plan to use the async client; otherwise use the synchronous API. Requires Python 3.10+.
Install
google-cloud-bigtable on PyPI
Before you install
Low friction install with a pure-wheel distribution. Actively maintained with a release 29 days ago and recent commits. Requires Python 3.10 or later. Depends on 8 Google Cloud libraries (google-api-core, google-auth, grpcio, proto-plus, protobuf, google-cloud-core, grpc-google-iam-v1, google-crc32c).
Requires Google Cloud credentials configured (via GOOGLE_APPLICATION_CREDENTIALS environment variable or Application Default Credentials). Requires Python >= 3.10.
License in practice
Licensed under Apache-2.0 (permissive). You can use, modify, and distribute this library freely in commercial and private projects, provided you include the license notice.
Quickstart
pip install google-cloud-bigtable
from google.cloud import bigtable
client = bigtable.Client(project='my-project')
instance = client.instance('my-instance')
table = instance.table('my-table')Verify before relying
- Performance characteristics and throughput limits of the async client compared to synchronous operations
- Whether the async client is production-ready or still considered experimental despite v2.23.0 release
- Specific Bigtable table size or row count limits when using this client
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 8 packagesgoogle-api-coregoogle-authgrpcioproto-plusprotobufgoogle-cloud-coregrpc-google-iam-v1google-crc32c |
| Maintenance | Actively maintained 29 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 89,249,220 / month, #377 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Internet |
Evidence: google_cloud_bigtable-2.41.0-py3-none-any.whl
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See also google-cloud-bigquery-storage · google-cloud-tasks · google-cloud-bigquery-logging · google-cloud-pubsublite · google-cloud-pubsub · google-cloud-functions · google-cloud-monitoring · google-cloud-build · google-cloud-workflows · google-cloud-spanner