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

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

Key Differences

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

Feature

Apache Airflow

Workflow

Prometheus

Monitoring

Side-by-side comparison of developer tools
Platform to programmatically author and schedule workflows
The Prometheus monitoring system and time series database
GitHub Stars
⭐ 45,276
⭐ 63,889
Contributors
👥 4,323
👥 1,372
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Python
Go
Features
  • • Airflow
  • • Apache
  • • Apache Airflow
  • • Automation
  • • Dag
  • • Alerting
  • • Graphing
  • • Hacktoberfest
  • • Metrics
  • • Monitoring
Integrations
No integrations listed
  • • prometheus
Momentum Score
94/100 (stable)
89/100 (stable)
Community Health
91/100 (excellent)
95/100 (excellent)
Maturity Index
88/100 (mature)
82/100 (established)
Innovation Score
88/100 (pioneering)
88/100 (pioneering)
Risk Score (higher is safer)
94/100 (minimal)
76/100 (minimal)
Developer Experience
80/100 (good)
68/100 (fair)
Links
🌐 Visit Website View on GitHub
🌐 Visit Website View on GitHub

Apache Airflow Strengths

  • ✓ Larger community (4,323 contributors)

Prometheus Strengths

  • ✓ More popular (63,889 stars)

When to Use Apache Airflow vs Prometheus

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

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Data source: GitHub API

Last updated: 5/4/2026