google-cloud-bigquery-datatransfer
Google Cloud Bigquery Datatransfer API client library
Decision gist · record as of 2026-08-14
Yes. This is the official, actively maintained client for a core Google Cloud service. Install it if you need to automate data movement into BigQuery from SaaS sources or schedule recurring queries. Low install friction, permissive license, no known vulnerabilities, and broad Python version support make it a straightforward choice for GCP-native data pipelines. Requires GCP project setup and authentication configuration beforehand.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Google Cloud Platform project with BigQuery Data Transfer API enabled and valid authentication credentials configured (via Application Default Credentials or explicit service account key).
- Low friction installation with a pure-Python wheel.
- Actively maintained as of 2026-06-03 with recent repository activity.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive). You may use, modify, and distribute this package freely in commercial and private projects, provided you include the license notice.
last release 2026-06-03 (72 days) · last repo commit 2026-08-14 · 5,371 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 78,786,770 downloads/mo, #431 on PyPI
Alternatives
Verify before relying
pip install google-cloud-bigquery-datatransfer
from google.cloud import bigquery_datatransfer
client = bigquery_datatransfer.DataTransferServiceClient()
project_path = client.common_project_path("your-project-id")
transfers = client.list_transfer_configs(parent=project_path)- Whether the package supports all current SaaS data sources or if source availability varies by region/account tier.
- Performance characteristics and rate limits for large-scale scheduled transfer operations.
- Backward compatibility guarantees across minor version updates.
What it is and what it does
This is the official Google Cloud Python client for BigQuery Data Transfer, a managed service that automates data movement into BigQuery. It provides a programmatic interface to create, configure, and monitor scheduled data transfers from external SaaS platforms (such as Google Ads, Google Analytics, Salesforce, and others) as well as to schedule and manage BigQuery queries that run on a recurring basis.
The library wraps the underlying BigQuery Data Transfer API using protocol buffers and gRPC, exposing methods to list available data sources, create and manage transfer configurations, run transfers on-demand, and retrieve transfer run history and logs. It depends on google-api-core, google-auth, grpcio, proto-plus, and protobuf for authentication, transport, and serialization. The package is production-stable, actively maintained, and supports Python 3.10 through 3.14.
Use it for
- Automate daily or hourly ingestion of advertising data from Google Ads or Facebook Ads Manager into BigQuery for analytics.
- Schedule recurring BigQuery queries that transform raw data and populate reporting tables on a fixed cadence.
- Programmatically manage dozens of data transfer configurations across multiple projects and data sources.
- Monitor transfer run history and logs to troubleshoot failed data ingestion jobs.
- Build a data pipeline orchestration layer that triggers BigQuery transfers as part of a larger ETL workflow.
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 a core Google Cloud service. Install it if you need to automate data movement into BigQuery from SaaS sources or schedule recurring queries. Low install friction, permissive license, no known vulnerabilities, and broad Python version support make it a straightforward choice for GCP-native data pipelines. Requires GCP project setup and authentication configuration beforehand.
Install
google-cloud-bigquery-datatransfer on PyPI
Before you install
Low friction installation with a pure-Python wheel. Actively maintained as of 2026-06-03 with recent repository activity. Requires Python 3.10 or later; supports current and maintenance-phase Python versions.
Requires Google Cloud Platform project with BigQuery Data Transfer API enabled and valid authentication credentials configured (via Application Default Credentials or explicit service account key).
License in practice
Licensed under Apache-2.0 (permissive). You may use, modify, and distribute this package freely in commercial and private projects, provided you include the license notice.
Quickstart
pip install google-cloud-bigquery-datatransfer
from google.cloud import bigquery_datatransfer
client = bigquery_datatransfer.DataTransferServiceClient()
project_path = client.common_project_path("your-project-id")
transfers = client.list_transfer_configs(parent=project_path)Verify before relying
- Whether the package supports all current SaaS data sources or if source availability varies by region/account tier.
- Performance characteristics and rate limits for large-scale scheduled transfer operations.
- Backward compatibility guarantees across minor version updates.
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 | 78,786,770 / month, #431 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_datatransfer-3.23.0-py3-none-any.whl
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See also google-cloud-bigquery-storage · google-cloud-storage-transfer · google-cloud-bigquery · google-cloud-bigquery-reservation · google-cloud-bigquery-connection · google-cloud-bigquery-logging · google-cloud-bigquery-datapolicies · google-cloud-bigquery-biglake · bigquery · tigerbeetle