Apache Airflow
Industry-standard open-source workflow orchestration with Python-based DAGs.
About Apache Airflow
Industry-standard open-source platform for programmatically authoring, scheduling, and monitoring workflows. Python-based DAGs define workflow dependencies. Massive ecosystem with providers for AWS, GCP, Azure, and hundreds of other integrations.
Key Features
- Python DAGs
- Extensive provider ecosystem
- Web UI dashboard
- Scheduling
- XCom data sharing
- Connection management
Pricing
free
Free and open source. Managed versions available from Astronomer, GCP Composer, and AWS MWAA.
Pros
- Industry standard
- Massive community
- Extensive integrations
- Battle-tested at scale
Cons
- Complex setup
- DAGs can be verbose
- Resource heavy
- Debugging can be difficult