google-cloud-bigquery-connection
Google Cloud Bigquery Connection API client library
Decision gist · record as of 2026-08-14
Yes. This is the official, actively maintained Google Cloud client library for BigQuery Connection management. It has low install friction, permissive licensing, no known vulnerabilities, and supports current Python versions (3.10+). Install it if you need to manage BigQuery connections programmatically; skip it if you only use the console or manage connections through other tools.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >= 3.10.
- Google Cloud authentication must be configured (via Application Default Credentials, service account key, or environment variable).
- Low install friction with a pure-wheel distribution.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; you must include a copy of the license and state significant changes.
last release 2026-06-03 (72 days) · last repo commit 2026-08-14 · 5,373 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 562,073 downloads/mo, #5,990 on PyPI
Alternatives
Verify before relying
pip install google-cloud-bigquery-connection
from google.cloud import bigquery_connection_v1
client = bigquery_connection_v1.ConnectionServiceClient()- Whether the package supports all BigQuery connection types (e.g., AWS, Azure, Spark) or a subset.
- Performance characteristics when managing many connections or high-frequency API calls.
- Whether async/await patterns are supported for connection operations.
What it is and what it does
This is Google's official Python client library for the BigQuery Connection API, part of the Google Cloud ecosystem. It provides programmatic access to create, configure, and manage connections between BigQuery and external data sources. The library wraps gRPC protocol buffers and handles authentication, serialization, and API communication automatically through its runtime dependencies (google-api-core, google-auth, grpcio, proto-plus, protobuf, grpc-google-iam-v1).
You use it when you need to automate BigQuery connection lifecycle management—creating connections to external databases, data warehouses, or cloud storage, updating their credentials, and deleting them—rather than doing so through the Google Cloud Console. It's part of the broader google-cloud-python ecosystem and follows Google's standard patterns for authentication, logging, and error handling.
Use it for
- Automate provisioning of BigQuery connections to external databases as part of infrastructure-as-code workflows.
- Manage connection credentials and lifecycle in multi-tenant or dynamic environments where connections are created on demand.
- Integrate BigQuery connection setup into CI/CD pipelines or data platform orchestration tools.
- Query and audit existing BigQuery connections programmatically to enforce security or compliance policies.
- Update connection configurations (e.g., credentials, network settings) without manual console access.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is the official, actively maintained Google Cloud client library for BigQuery Connection management. It has low install friction, permissive licensing, no known vulnerabilities, and supports current Python versions (3.10+). Install it if you need to manage BigQuery connections programmatically; skip it if you only use the console or manage connections through other tools.
Install
google-cloud-bigquery-connection on PyPI
Before you install
Low install friction with a pure-wheel distribution. Active maintenance with a recent release 72 days ago. Depends on standard Google Cloud libraries (google-api-core, google-auth, grpcio, proto-plus, protobuf, grpc-google-iam-v1), all widely used.
Requires Python >= 3.10. Google Cloud authentication must be configured (via Application Default Credentials, service account key, or environment variable).
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions; you must include a copy of the license and state significant changes.
Quickstart
pip install google-cloud-bigquery-connection
from google.cloud import bigquery_connection_v1
client = bigquery_connection_v1.ConnectionServiceClient()Verify before relying
- Whether the package supports all BigQuery connection types (e.g., AWS, Azure, Spark) or a subset.
- Performance characteristics when managing many connections or high-frequency API calls.
- Whether async/await patterns are supported for connection operations.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagesgoogle-api-coregoogle-authgrpcioproto-plusprotobufgrpc-google-iam-v1 |
| Maintenance | Actively maintained 72 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 562,073 / month, #5,990 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_bigquery_connection-1.22.0-py3-none-any.whl
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See also google-cloud-alloydb · google-cloud-bigquery-datapolicies · google-cloud-bigquery-storage · google-cloud-bigquery-reservation · google-cloud-bigquery-logging · google-cloud-bigquery-datatransfer · google-cloud-bigquery-biglake · bigquery-schema-generator · bigquery-magics · google-cloud-api-keys