Apache Airflow
Open-source platform for programmatically authoring, scheduling, and monitoring workflows.
About
Apache Airflow is a flexible, scalable workflow automation and scheduling system for authoring and managing data processing pipelines. It allows users to programmatically author, schedule, and monitor workflows, with tasks defined as Directed Acyclic Graphs (DAGs) in Python. Airflow is widely adopted by data engineers and scientists for orchestrating complex data tasks.
Technology stack
detected 2026-06-18Est. monthly stack spend~$180/mo
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Frequently asked
What does Apache Airflow do?
Apache Airflow is a flexible, scalable workflow automation and scheduling system for authoring and managing data processing pipelines. It allows users to programmatically author, schedule, and monitor workflows, with tasks defined as Directed Acyclic Graphs (DAGs) in Python. Airflow is widely adopted by data engineers and scientists for orchestrating complex data tasks.
When was Apache Airflow founded?
Apache Airflow was founded in 2014.
What industry does Apache Airflow operate in?
Apache Airflow operates in MLOps, DataOps, Workflow Automation, Scheduling System, Data Engineering, Open Source.