apache-airflow-providers-redis
Provider package apache-airflow-providers-redis for Apache Airflow
Decision gist · record as of 2026-08-14
Yes. This is an official, production-stable Apache Airflow provider with active maintenance, no known vulnerabilities, permissive licensing, and low install friction. Install it if you need to integrate Airflow workflows with Redis for caching, messaging, or state management. Requires an existing Airflow installation (>=2.11.0) and a Redis instance.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires an existing Apache Airflow installation (>=2.11.0) and a configured Redis connection in Airflow's connection registry.
- Low install friction with a pure-Python wheel.
- Actively maintained with recent releases; requires Apache Airflow >=2.11.0 and redis >=4.5.2 (with specific version exclusions).
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing use in commercial and proprietary projects with minimal restrictions beyond attribution and liability disclaimers.
last release 2026-06-22 (53 days) · last repo commit 2026-08-14 · 46,490 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,263,014 downloads/mo, #4,145 on PyPI
Alternatives
Verify before relying
pip install apache-airflow-providers-redis
from airflow.providers.redis.operators.redis_db import RedisOperator
from airflow.providers.redis.hooks.redis import RedisHook
# Use RedisHook to interact with Redis in a task
hook = RedisHook(redis_conn_id='redis_default')
hook.get_conn().set('key', 'value')- Specific operators and hooks available beyond the basic RedisHook and RedisOperator mentioned in documentation.
- Whether the package supports Redis Cluster or only standalone Redis instances.
- Performance characteristics or limitations when handling high-volume Redis operations in Airflow DAGs.
What it is and what it does
This is an official Apache Airflow provider package that bridges Airflow workflows with Redis, a fast in-memory data store. It supplies operators and hooks that let Airflow tasks read from, write to, and interact with Redis for caching, session storage, message queuing, and distributed state management. The package is part of Airflow's modular provider ecosystem and is maintained by the Apache Airflow project.
The package depends on Apache Airflow (>=2.11.0), the redis client library (>=4.5.2 with specific version exclusions), and apache-airflow-providers-common-compat for compatibility utilities. It is production-stable, actively maintained, and supports modern Python versions. Installation is straightforward via pip on top of an existing Airflow setup, with optional cross-provider dependencies available for advanced messaging features.
Use it for
- Cache query results or intermediate workflow data in Redis to speed up repeated Airflow task executions.
- Use Redis as a message broker or queue for inter-task communication and coordination within Airflow DAGs.
- Store and retrieve workflow state, locks, or distributed counters across multiple Airflow workers.
- Monitor Redis operations and health as part of Airflow monitoring and observability workflows.
- Integrate Airflow with existing Redis-backed infrastructure for session management or real-time data pipelines.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is an official, production-stable Apache Airflow provider with active maintenance, no known vulnerabilities, permissive licensing, and low install friction. Install it if you need to integrate Airflow workflows with Redis for caching, messaging, or state management. Requires an existing Airflow installation (>=2.11.0) and a Redis instance.
Install
apache-airflow-providers-redis on PyPI
Before you install
Low install friction with a pure-Python wheel. Actively maintained with recent releases; requires Apache Airflow >=2.11.0 and redis >=4.5.2 (with specific version exclusions). Supports current Python versions 3.10 through 3.14.
Requires an existing Apache Airflow installation (>=2.11.0) and a configured Redis connection in Airflow's connection registry.
License in practice
Licensed under Apache-2.0 (permissive), allowing use in commercial and proprietary projects with minimal restrictions beyond attribution and liability disclaimers.
Quickstart
pip install apache-airflow-providers-redis
from airflow.providers.redis.operators.redis_db import RedisOperator
from airflow.providers.redis.hooks.redis import RedisHook
# Use RedisHook to interact with Redis in a task
hook = RedisHook(redis_conn_id='redis_default')
hook.get_conn().set('key', 'value')Verify before relying
- Specific operators and hooks available beyond the basic RedisHook and RedisOperator mentioned in documentation.
- Whether the package supports Redis Cluster or only standalone Redis instances.
- Performance characteristics or limitations when handling high-volume Redis operations in Airflow DAGs.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagesapache-airflowapache-airflow-providers-common-compatredis |
| Maintenance | Actively maintained 53 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,263,014 / month, #4,145 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/StableEnvironment :: ConsoleEnvironment :: Web EnvironmentFramework :: Apache AirflowFramework :: Apache Airflow :: ProviderIntended Audience :: DevelopersIntended Audience :: System AdministratorsProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: System :: Monitoring |
Evidence: apache_airflow_providers_redis-4.5.0-py3-none-any.whl
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See also apache-airflow-providers-apache-kafka · apache-airflow-providers-zendesk · apache-airflow-providers-github · apache-airflow-providers-standard · apache-airflow-providers-asana · apache-airflow-providers-microsoft-azure · apache-airflow-providers-opensearch · apache-airflow-providers-openfaas · apache-airflow-providers-apache-flink · apache-airflow-providers-jenkins