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

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

Key Differences

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

Feature

Apache Airflow

Workflow

Prefect

Workflow

Side-by-side comparison of developer tools
Platform to programmatically author and schedule workflows
Modern workflow orchestration
GitHub Stars
⭐ 45,276
⭐ 22,297
Contributors
👥 4,323
👥 430
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Python
Python
Features
  • • Airflow
  • • Apache
  • • Apache Airflow
  • • Automation
  • • Dag
  • • Automation
  • • Data
  • • Data Engineering
  • • Data Ops
  • • Data Science
Integrations
No integrations listed
No integrations listed
Momentum Score
94/100 (stable)
58/100 (slowing)
Community Health
91/100 (excellent)
30/100 (needs-attention)
Maturity Index
88/100 (mature)
45/100 (emerging)
Innovation Score
88/100 (pioneering)
43/100 (evolving)
Risk Score (higher is safer)
94/100 (minimal)
44/100 (medium)
Developer Experience
80/100 (good)
36/100 (poor)
Links
🌐 Visit Website View on GitHub
🌐 Visit Website View on GitHub

Apache Airflow Strengths

  • ✓ More popular (45,276 stars)
  • ✓ Larger community (4,323 contributors)

Prefect Strengths

When to Use Apache Airflow vs Prefect

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

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Data source: GitHub API

Last updated: 5/4/2026