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google-cloud-redis

Google Cloud Redis API client library

Worth itPyPI InternetReleased Jun 202680.0M downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — google_cloud_redis-2.22.0-py3-none-any.whl
v2.22.0 · released 2026-06-22 · Python >=3.10 · 5 runtime deps: google-api-core, google-auth, grpcio, proto-plus, protobuf

Yes. This is the official, actively maintained client for a Google Cloud service. Install friction is low, no known vulnerabilities, and the permissive Apache-2.0 license poses no restrictions. Install it if you need to manage Memorystore for Redis instances from Python code; skip it if you only need to connect to an already-provisioned Redis instance (use redis-py for that instead).AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Google Cloud project setup, billing enabled, Memorystore for Redis API enabled, and authentication credentials configured (see Google Cloud documentation).
  • Low install friction with a pure-Python wheel.
  • Maintained actively with a recent release (53 days ago) and an established repository with 5371 stars.

License · maintenance · safety

Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing use in proprietary and open-source projects with minimal restrictions beyond attribution and liability disclaimers.

last release 2026-06-22 (53 days) · last repo commit 2026-08-14 · 5,371 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 80,011,739 downloads/mo, #422 on PyPI

Verify before relying

pip install google-cloud-redis

from google.cloud import redis_v1

client = redis_v1.CloudRedisClient()
instances = client.list_instances(parent='projects/PROJECT_ID/locations/LOCATION')
  • Whether the library supports all current Redis versions and Memorystore features available in the Google Cloud console.
  • Performance characteristics and latency overhead of the client library relative to direct Redis connections.
Same gist for agents: .md · .json

What it is and what it does

google-cloud-redis is the official Python client for Google Cloud Memorystore for Redis, a managed Redis service on Google Cloud Platform. It wraps the underlying Google Cloud API to let you programmatically create, update, delete, and list Redis instances, as well as manage their configurations and backups. The library handles authentication, RPC marshalling, and error translation, so you work with Python objects and methods rather than raw HTTP or gRPC calls.

The package is built on google-api-core, google-auth, grpcio, proto-plus, and protobuf—standard Google Cloud client infrastructure. It supports Python 3.10 through 3.14 and is actively maintained. Use it when you need to automate Redis instance lifecycle management as part of a larger application or infrastructure-as-code workflow, rather than managing instances manually through the Google Cloud console.

Use it for

  • Automate provisioning and teardown of Redis instances as part of application deployment or testing pipelines.
  • Build multi-tenant systems that dynamically create isolated Redis caches for different customers or environments.
  • Monitor and manage Redis instance configurations, backups, and failover settings programmatically.
  • Integrate Redis instance management into infrastructure-as-code frameworks or cloud orchestration tools.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

This is the official, actively maintained client for a Google Cloud service. Install friction is low, no known vulnerabilities, and the permissive Apache-2.0 license poses no restrictions. Install it if you need to manage Memorystore for Redis instances from Python code; skip it if you only need to connect to an already-provisioned Redis instance (use redis-py for that instead).

Install

google-cloud-redis on PyPI

Before you install

Low install friction with a pure-Python wheel. Maintained actively with a recent release (53 days ago) and an established repository with 5371 stars. Requires Python >= 3.10.

Requires Google Cloud project setup, billing enabled, Memorystore for Redis API enabled, and authentication credentials configured (see Google Cloud documentation).

License in practice

Licensed under Apache-2.0 (permissive), allowing use in proprietary and open-source projects with minimal restrictions beyond attribution and liability disclaimers.

Quickstart

pip install google-cloud-redis

from google.cloud import redis_v1

client = redis_v1.CloudRedisClient()
instances = client.list_instances(parent='projects/PROJECT_ID/locations/LOCATION')

Verify before relying

  • Whether the library supports all current Redis versions and Memorystore features available in the Google Cloud console.
  • Performance characteristics and latency overhead of the client library relative to direct Redis connections.

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release >=3.10
Install frictionLow. Pure-Python wheel
Runtime dependencies
5 packages
google-api-coregoogle-authgrpcioproto-plusprotobuf
MaintenanceActively maintained 53 days since the last release
Last repo commit
First released
Downloads80,011,739 / month, #422 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone 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_redis-2.22.0-py3-none-any.whl

Tags

Capabilities
google cloud redis clientmemorystore for redis pythoncloud redis management librarygoogle cloud cache provisioningredis instance management api
Topics
google-cloudredis-managementinfrastructure-automation

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See also google-cloud-memcache · google-cloud-redis-cluster · google-cloud-ndb · google-cloud-filestore · google-cloud-resource-manager · google-cloud-functions · google-cloud-monitoring · google-cloud-bigquery-storage · google-cloud-tasks · google-cloud-build