Apache Airflow vs Apache Beam: Key Differences & When to Use Each
Comprehensive side-by-side comparison of features, pricing, and metrics
Key Differences
Compare Apache Airflow and Apache Beam across features, pricing, integrations, and community metrics. Apache Airflow / Apache Beam.
Feature
Apache Airflow
Workflow
Apache Beam
Data Processing
Side-by-side comparison of developer tools
Platform to programmatically author and schedule workflows
Unified programming model for batch and streaming
GitHub Stars
⭐ 45,060
⭐ 8,550
Contributors
👥 4,275
👥 1,886
Pricing
✓ Free
Enterprise: Contact sales
✓ Free
Enterprise: Contact sales
Languages
Python
Java
Features
- • Airflow
- • Apache
- • Apache Airflow
- • Automation
- • Dag
- • Batch
- • Beam
- • Big Data
- • Golang
- • Java
Integrations
No integrations listed
No integrations listed
Momentum Score
95/100Momentum959595
(stable)
84/100Momentum848484
(stable)
Community Health
91/100Health919191
(excellent)
73/100Health737373
(good)
Maturity Index
88/100Maturity888888
(mature)
63/100Maturity636363
(growing)
Innovation Score
88/100Innovation888888
(pioneering)
59/100Innovation595959
(progressive)
Risk Score (higher is safer)
94/100Risk949494
(minimal)
82/100Risk828282
(minimal)
Developer Experience
80/100DX808080
(good)
54/100DX545454
(needs-improvement)
Links
Apache Airflow Strengths
- ✓ More popular (45,060 stars)
- ✓ Larger community (4,275 contributors)
Apache Beam Strengths
When to Use Apache Airflow vs Apache Beam
Use Apache Airflow when its strengths align better with your stack and team needs, and choose Apache Beam when its ecosystem, integrations, or cost profile is a better fit.
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Data source: GitHub API
Last updated: 4/17/2026