Apache Airflow vs Apache Beam: Differences cles et quand utiliser chaque outil
Analyse approfondie des différences clés, cas d'usage et signaux de communauté.
Differences cles
Comparez Apache Airflow et Apache Beam selon les fonctionnalites, le prix, les integrations et les metriques de communaute. Apache Airflow / Apache Beam.
Fonctionnalité
Apache Airflow
Workflow
Apache Beam
Data Processing
Comparez des outils développeur côte à côte avec des métriques réelles.
Platform to programmatically author and schedule workflows
Unified programming model for batch and streaming
GitHub Stars
⭐ 45 276
⭐ 8 575
Contributors
👥 4 323
👥 1 891
Pricing
✓ Gratuit
Enterprise: Contact sales
✓ Gratuit
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
94/100Momentum949494
(stable)
79/100Momentum797979
(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 (45 276 étoiles)
- ✓ Larger community (4 323 contributors)
Apache Beam Strengths
Quand utiliser Apache Airflow vs Apache Beam
Utilisez Apache Airflow quand ses points forts correspondent mieux a votre stack et a votre equipe, et choisissez Apache Beam si son ecosysteme, ses integrations ou son cout sont plus adaptes.
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Data source: GitHub API
Dernière mise à jour 5/5/2026