google-cloud-datastream
Google Cloud Datastream API client library
Decision gist · record as of 2026-08-14
Yes. This is the official, actively maintained client for a Google Cloud service. Install it if you need to automate or integrate Datastream operations into Python applications. The low install friction, permissive license, current Python support, and zero known vulnerabilities make it a straightforward choice for projects already committed to Google Cloud infrastructure.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 (service account key, Application Default Credentials, or equivalent).
- Low install friction with a pure Python wheel distribution.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing free use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.
last release 2026-06-03 (72 days) · last repo commit 2026-08-14 · 5,373 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 87,449 downloads/mo, #13,799 on PyPI
Alternatives
Verify before relying
pip install google-cloud-datastream
from google.cloud import datastream_v1
client = datastream_v1.DatastreamClient()
project = "your-project-id"
parent = client.common_project_path(project)
streams = client.list_streams(parent=parent)- Specific API endpoints and methods available beyond basic stream listing and management.
- Performance characteristics and throughput limits for typical CDC workloads.
- Integration patterns with specific source and destination databases.
What it is and what it does
This is Google's official Python client for Cloud Datastream, a managed change data capture (CDC) and replication service. It wraps the Datastream REST API, allowing you to programmatically create, configure, and manage data replication pipelines that synchronize changes from source databases to destinations with minimal latency. The library handles authentication, request marshaling, and response parsing through dependencies on google-api-core, google-auth, and gRPC stubs.
You use it when you need to automate Datastream operations—creating streams, listing active replications, monitoring job status, or integrating CDC into larger data orchestration workflows. It's a thin, generated wrapper around the service API rather than a standalone CDC engine, so you're always working against Google Cloud infrastructure. The library requires Python 3.10 or later and assumes you have a Google Cloud project with Datastream enabled and valid authentication credentials.
Use it for
- Automate creation and management of CDC pipelines between on-premises databases and cloud data warehouses.
- Build monitoring dashboards that query Datastream job status and replication metrics programmatically.
- Integrate data synchronization into infrastructure-as-code or GitOps workflows for reproducible deployments.
- Orchestrate multi-stage data pipelines where Datastream feeds into downstream processing or analytics.
- Manage multiple replication streams across different source systems from a single control plane.
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 Google Cloud service. Install it if you need to automate or integrate Datastream operations into Python applications. The low install friction, permissive license, current Python support, and zero known vulnerabilities make it a straightforward choice for projects already committed to Google Cloud infrastructure.
Install
google-cloud-datastream on PyPI
Before you install
Low install friction with a pure Python wheel distribution. The package is actively maintained with a recent release (72 days old) and supports current Python versions (3.10 through 3.14). Six runtime dependencies are all from the Google Cloud ecosystem, indicating stable, well-integrated components.
Requires Python >= 3.10. Google Cloud authentication must be configured (service account key, Application Default Credentials, or equivalent).
License in practice
Licensed under Apache-2.0 (permissive), allowing free use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.
Quickstart
pip install google-cloud-datastream
from google.cloud import datastream_v1
client = datastream_v1.DatastreamClient()
project = "your-project-id"
parent = client.common_project_path(project)
streams = client.list_streams(parent=parent)Verify before relying
- Specific API endpoints and methods available beyond basic stream listing and management.
- Performance characteristics and throughput limits for typical CDC workloads.
- Integration patterns with specific source and destination databases.
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 | 87,449 / month, #13,799 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_datastream-1.19.0-py3-none-any.whl
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See also google-cloud-functions · google-cloud-dataflow-client · google-cloud-resource-manager · google-cloud-filestore · google-cloud-monitoring · google-cloud-run · google-cloud-build · google-cloud-bigquery-storage · google-cloud-billing · google-cloud-bigtable