google-cloud-redis-cluster
Google Cloud Redis Cluster API client library
Decision gist · record as of 2026-08-14
Yes, if you need to manage Google Cloud Memorystore for Redis instances from Python. The library is actively maintained, has low install friction, carries no known vulnerabilities, and uses a permissive license. It is the official client and the only practical way to interact with the Memorystore API from Python code. Not relevant if you only need a Redis client library for connecting to an already-running Redis server.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a Google Cloud project with Memorystore for Redis API enabled and valid credentials (via Application Default Credentials or explicit authentication setup).
- Low install friction with a pure-Python wheel distribution.
- Actively maintained as of 2026-08-14 with recent releases.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions.
last release 2026-08-06 (8 days) · last repo commit 2026-08-14 · 5,373 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 86,128 downloads/mo, #13,885 on PyPI
Alternatives
Verify before relying
pip install google-cloud-redis-cluster
from google.cloud import redis_cluster
client = redis_cluster.CloudRedisClusterClient()
project = "my-project"
region = "us-central1"
cluster_id = "my-cluster"
name = client.cluster_path(project, region, cluster_id)
cluster = client.get_cluster(request={"name": name})- Whether the library supports all Redis cluster features available in the Google Cloud Memorystore API
- Performance characteristics and rate limits when managing large numbers of Redis instances
- Whether async/await patterns are supported for non-blocking operations
What it is and what it does
This is the official Google Cloud Python client for Memorystore for Redis, a managed Redis service on Google Cloud Platform. It wraps the underlying gRPC APIs to let you create, configure, monitor, and delete Redis cluster instances programmatically from Python code. The library handles authentication via google-auth, serialization via protobuf and proto-plus, and communication via grpcio, abstracting away the low-level details of the Google Cloud API.
You use it when you need to automate Redis infrastructure on GCP—spinning up clusters for development, scaling instances in response to demand, or integrating Redis provisioning into infrastructure-as-code workflows. It requires Python 3.10 or later and a Google Cloud project with Memorystore for Redis enabled and appropriate credentials configured.
Use it for
- Automate provisioning of Redis clusters in CI/CD pipelines or infrastructure-as-code workflows
- Build management dashboards or tools that programmatically create and configure Redis instances
- Integrate Redis cluster lifecycle management into application deployment automation
- Query and monitor existing Redis instances on Memorystore from Python applications
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to manage Google Cloud Memorystore for Redis instances from Python.
The library is actively maintained, has low install friction, carries no known vulnerabilities, and uses a permissive license. It is the official client and the only practical way to interact with the Memorystore API from Python code. Not relevant if you only need a Redis client library for connecting to an already-running Redis server.
Install
google-cloud-redis-cluster on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Actively maintained as of 2026-08-14 with recent releases. Depends on standard Google Cloud client libraries (google-api-core, google-auth, grpcio, proto-plus, protobuf).
Requires a Google Cloud project with Memorystore for Redis API enabled and valid credentials (via Application Default Credentials or explicit authentication setup).
License in practice
Licensed under Apache-2.0 (permissive), allowing commercial use, modification, and distribution with minimal restrictions.
Quickstart
pip install google-cloud-redis-cluster
from google.cloud import redis_cluster
client = redis_cluster.CloudRedisClusterClient()
project = "my-project"
region = "us-central1"
cluster_id = "my-cluster"
name = client.cluster_path(project, region, cluster_id)
cluster = client.get_cluster(request={"name": name})Verify before relying
- Whether the library supports all Redis cluster features available in the Google Cloud Memorystore API
- Performance characteristics and rate limits when managing large numbers of Redis instances
- Whether async/await patterns are supported for non-blocking 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 8 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 86,128 / month, #13,885 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_redis_cluster-0.5.2-py3-none-any.whl
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See also google-cloud-redis · google-cloud-memcache · google-cloud-ndb · google-cloud-resource-manager · google-cloud-functions · google-cloud-filestore · PyPowerStore · google-cloud-monitoring · google-cloud-tasks · google-cloud-container