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

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

Key Differences

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

Feature

Apache Kafka

Messaging

Side-by-side comparison of developer tools
Platform to programmatically author and schedule workflows
Distributed streaming platform
GitHub Stars
⭐ 46,645
⭐ 33,641
Contributors
👥 4,574
👥 1,736
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Python
Java
Features
  • Airflow
  • Apache
  • Apache Airflow
  • Automation
  • Dag
  • Java
  • Kafka
  • Scala
  • Streaming
Integrations
No integrations listed
  • • kafka
Momentum Score
87/100 (slowing)
92/100 (slowing)
Community Health
91/100 (excellent)
85/100 (excellent)
Maturity Index
89/100 (mature)
81/100 (established)
Innovation Score
87/100 (pioneering)
69/100 (progressive)
Risk Score (higher is safer)
94/100 (minimal)
81/100 (minimal)
Developer Experience
80/100 (good)
53/100 (needs-improvement)
Links

Apache Airflow Strengths

  • ✓ More popular (46,645 stars)
  • ✓ Larger community (4,574 contributors)
  • ✓ More features (5 listed)

Apache Kafka Strengths

When to Use Apache Airflow vs Apache Kafka

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

Data source: GitHub API

Last updated: 8/30/2026