About Airflow
Airflow is an open-source workflow orchestration platform used to author, schedule, and monitor data pipelines. It serves data engineers and analytics teams needing scalable, Python-defined pipelines and a transparent runtime to manage complex workflows.
Key Features
Airflow helps data teams define and run complex pipelines with Python-first workflows and clear execution history. It supports cross-cloud deployment and modular task orchestration, giving you visibility into status and logs across ongoing and completed tasks:
Pure Python
Use standard Python features to define workflows, with scheduling via datetime and loops to generate tasks dynamically.
Useful UI
Monitor, schedule and manage workflows through a modern web interface; view status and logs without relying on cron-like tooling.
Robust Integrations
A broad set of operators to run tasks on Google Cloud, AWS, Azure, and other services, aligning with existing stacks.
Open Source
The code is public; contribute via PRs and engage with an active community and Slack for questions.
Summary
Best for data engineering teams building scalable pipelines, analytics teams needing transparent runtime, and ML/AI workflows that are Python-defined.
