Apache Airflow vs Redis: Key Differences & When to Use Each

Comprehensive side-by-side comparison of features, pricing, and metrics

Key Differences

Compare Apache Airflow and Redis across features, pricing, integrations, and community metrics. Apache Airflow / Redis.

Feature

Apache Airflow

Workflow

Redis

Database

Side-by-side comparison of developer tools
Platform to programmatically author and schedule workflows
In-memory data structure store
GitHub Stars
⭐ 45,777
⭐ 74,816
Contributors
👥 4,426
👥 924
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Python
C
Features
  • • Airflow
  • • Apache
  • • Apache Airflow
  • • Automation
  • • Dag
  • • Cache
  • • Caching
  • • Database
  • • Distributed Systems
  • • In Memory
Integrations
No integrations listed
  • • redis
Momentum Score
92/100 (slowing)
88/100 (slowing)
Community Health
91/100 (excellent)
81/100 (good)
Maturity Index
89/100 (mature)
82/100 (established)
Innovation Score
87/100 (pioneering)
91/100 (pioneering)
Risk Score (higher is safer)
94/100 (minimal)
69/100 (low)
Developer Experience
80/100 (good)
68/100 (fair)
Links
🌐 Visit Website View on GitHub
🌐 Visit Website View on GitHub

Apache Airflow Strengths

  • ✓ Larger community (4,426 contributors)

Redis Strengths

  • ✓ More popular (74,816 stars)

When to Use Apache Airflow vs Redis

Use Apache Airflow when its strengths align better with your stack and team needs, and choose Redis when its ecosystem, integrations, or cost profile is a better fit.

Related comparisons

Apache Airflow vs Prefect → Redis vs Elasticsearch → Apache Airflow vs Dagster → Redis vs ClickHouse → Apache Airflow vs n8n → Redis vs TiDB → Apache Airflow vs Playwright → Redis vs CockroachDB → Apache Airflow vs Elasticsearch → Redis vs InfluxDB → Apache Airflow vs Grafana → Redis vs MongoDB →

More Comparisons

View Apache Airflow → View Redis → Search More Tools →

Data source: GitHub API

Last updated: 6/12/2026