Overview
Apache Airflow is an open-source platform to develop, schedule, and monitor workflows programmatically. Originally developed by Airbnb in 2014, it enables data engineers and developers to create complex data pipelines as Directed Acyclic Graphs (DAGs) using Python code.
Why Apache Airflow?
- Code-based workflows: Define pipelines as code for version control and collaboration
- Rich scheduling: Support for complex scheduling with cron expressions and dependencies
- Extensible: 1000+ integrations with cloud providers, databases, and services
- Monitoring: Rich web UI for workflow visualization and debugging
- Scalable: Distributed execution with multiple executor options
Best For
- ETL/ELT pipeline orchestration
- ML workflow automation
- Data lake management
- Business process automation
- Infrastructure operations
Not Ideal For
- Real-time stream processing
- Millisecond-latency requirements
- Simple cron job replacements
- Event-driven architectures
- CPU-intensive computations
Key Statistics
200+
Contributors
1000+
Integrations
20K+
GitHub Stars
500K+
PyPI Downloads/Month
No quiz questions available
Quiz ID "airflow" not found