Açıklaması şöyle. Diğer alternatifler Dagster ve Mage
Airflow was built by Airbnb in 2014 to solve "Cron on Steroids."It treats the world as a list of verbs:- extract_data()- transform_data()
- load_data()
Gerekli Bileşenler
Açıklaması şöyle
Airflow is heavy.To run a simple "Hello World" pipeline, you need:1. A Webserver (Flask).2. A Scheduler (The Heartbeat).3. A Metastore (Postgres).4. A Queue (Redis).5. A Worker (Celery/K8s).
Task Based Trap
Açıklaması şöyle
It doesn't know what extract_data produces. It just knows it finished with Exit Code 0.- To be fair, Airflow has evolved. Sensors, SLAs, Datasets, and deferrable operators exist.- But they are add-ons to a fundamentally task-first model — not first-class data abstractions.- The scheduler still reasons about task completion, not data correctness.- This creates the "Silent Failure" problem.The Scenario:- Task A (Extract): Runs successfully but pulls 0 rows because the API changed.- Task B (Transform): Runs successfully on 0 rows.- Task C (Load): Overwrites your production table with… nothing.- Airflow: "All Green! Good job!"You don't find out until the CEO calls you.
