Apache Airflow vs n8n: Key Differences & When to Use Each

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

Key Differences

Compare Apache Airflow and n8n across features, pricing, integrations, and community metrics. Apache Airflow / n8n.

Feature
Side-by-side comparison of developer tools
Platform to programmatically author and schedule workflows
n8n is a fair-code workflow automation platform with native AI capabilities, allowing users to combine visual building with custom code. It supports self-hosting or cloud deployment and offers over 400 integrations.
GitHub Stars
⭐ 45,060
⭐ No data available
Contributors
👥 4,275
👥 No data available
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Enterprise pricing available on request
Languages
Python
TypeScript
Features
  • Airflow
  • Apache
  • Apache Airflow
  • Automation
  • Dag
  • Visual workflow building
  • Custom code integration
  • Self-hosted or cloud deployment
  • 400+ integrations
  • Native AI capabilities
Integrations
No integrations listed
  • • APIs
  • • Various SaaS platforms
  • • Custom integrations
Momentum Score
95/100 (stable)
6/100 (stable)
Community Health
91/100 (excellent)
6/100 (needs-attention)
Maturity Index
88/100 (mature)
5/100 (experimental)
Innovation Score
88/100 (pioneering)
8/100 (traditional)
Risk Score (higher is safer)
94/100 (minimal)
7/100 (high)
Developer Experience
80/100 (good)
9/100 (poor)
Links

Apache Airflow Strengths

  • ✓ More popular (45,060 stars)
  • ✓ Larger community (4,275 contributors)

n8n Strengths

When to Use Apache Airflow vs n8n

Use Apache Airflow when its strengths align better with your stack and team needs, and choose n8n when its ecosystem, integrations, or cost profile is a better fit.

Data source: GitHub API

Last updated: 4/17/2026