---
id: apache-airflow-providers-redis
version: "4.5.0"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# apache-airflow-providers-redis — Provider package apache-airflow-providers-redis for Apache Airflow

License: permissive · Maintenance: active · Downloads: 1.3M/mo

## 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 above — verify before relying.

Provides Redis integration for Apache Airflow, enabling workflows to interact with Redis for caching, messaging, and state management through Airflow operators and hooks.

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

pip install apache-airflow-providers-redis
uv add apache-airflow-providers-redis
poetry add apache-airflow-providers-redis

## Installing apache-airflow-providers-redis

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.

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')

Requires an existing Apache Airflow installation (>=2.11.0) and a configured Redis connection in Airflow's connection registry.

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_current
- Install friction: low
- Maintenance: active
- Downloads: 1.3M/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

airflow redis provider, redis integration airflow, airflow redis operator, redis caching airflow, airflow redis hook, redis airflow tasks, airflow-provider, redis-integration, workflow-orchestration

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