google-cloud-bigquery-biglake
Google Cloud Bigquery Biglake API client library
Decision gist · record as of 2026-08-14
Yes, if you are working with Apache Iceberg tables in BigQuery and need Python-based programmatic access to BigLake Metastore. The library is actively maintained, has low install friction, carries a permissive license, and is backed by Google's infrastructure. No known vulnerabilities. Install it only if your project requires BigLake API integration; it is not a general-purpose tool.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >= 3.10; Google Cloud project with BigLake API enabled and valid authentication credentials (via google-auth).
- Low friction installation via pip with standard Google Cloud dependencies.
- Active maintenance with recent releases; repository has 5373 stars and last commit on 2026-08-14.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions—standard for Google Cloud client libraries.
last release 2026-06-03 (72 days) · last repo commit 2026-08-14 · 5,373 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 8,216,325 downloads/mo, #1,646 on PyPI
Alternatives
Verify before relying
pip install google-cloud-bigquery-biglake
from google.cloud import biglake
client = biglake.MetastoreServiceClient()
# Requires Google Cloud authentication and BigLake API enabled- Specific BigLake API methods and their signatures beyond the client instantiation pattern shown in the description.
- Whether the library handles connection pooling, retry logic, or rate limiting automatically.
- Performance characteristics when querying large Iceberg table metadata or executing bulk operations.
What it is and what it does
This is Google's official Python client for BigLake Metastore, a managed metadata service that lets you query Apache Iceberg tables stored in BigQuery. It wraps the BigLake API to provide Python developers with a standard interface for metastore operations—creating, listing, and managing Iceberg table metadata without managing infrastructure. The library depends on google-api-core, google-auth, grpcio, proto-plus, and protobuf to handle authentication, gRPC transport, and protocol buffer serialization.
You use it when you need programmatic access to BigLake metadata from Python—typically to integrate Iceberg table discovery or management into data pipelines, automation scripts, or applications that work with open-source data formats in BigQuery. It's in Beta status and actively maintained, supporting modern Python versions (3.10 and later). Setup requires a Google Cloud project with BigLake enabled and proper authentication configured.
Use it for
- Discover and list Iceberg tables available in BigLake Metastore from a Python application.
- Automate metadata operations on Iceberg tables as part of a data pipeline or ETL workflow.
- Integrate BigLake table access into a data catalog or governance tool running on Google Cloud.
- Query Iceberg table schema and partition information programmatically for data validation.
- Build custom applications that manage open-source table formats alongside BigQuery datasets.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are working with Apache Iceberg tables in BigQuery and need Python-based programmatic access to BigLake Metastore.
The library is actively maintained, has low install friction, carries a permissive license, and is backed by Google's infrastructure. No known vulnerabilities. Install it only if your project requires BigLake API integration; it is not a general-purpose tool.
Install
google-cloud-bigquery-biglake on PyPI
Before you install
Low friction installation via pip with standard Google Cloud dependencies. Active maintenance with recent releases; repository has 5373 stars and last commit on 2026-08-14. Supports current Python versions (3.10 through 3.14).
Requires Python >= 3.10; Google Cloud project with BigLake API enabled and valid authentication credentials (via google-auth).
License in practice
Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions—standard for Google Cloud client libraries.
Quickstart
pip install google-cloud-bigquery-biglake
from google.cloud import biglake
client = biglake.MetastoreServiceClient()
# Requires Google Cloud authentication and BigLake API enabledVerify before relying
- Specific BigLake API methods and their signatures beyond the client instantiation pattern shown in the description.
- Whether the library handles connection pooling, retry logic, or rate limiting automatically.
- Performance characteristics when querying large Iceberg table metadata or executing bulk 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 | 5 packagesgoogle-api-coregoogle-authgrpcioproto-plusprotobuf |
| Maintenance | Actively maintained 72 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 8,216,325 / month, #1,646 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended 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_biglake-0.8.0-py3-none-any.whl
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See also google-cloud-bigquery-storage · google-cloud-bigquery · google-cloud-bigquery-logging · google-cloud-bigquery-connection · google-cloud-bigquery-reservation · google-cloud-dataproc-metastore · google-cloud-bigquery-datatransfer · bigquery-magics · pymetastore · hive-metastore-client