Apache AirFlow
A platform to programmatically author, schedule, and monitor workflows as code.
What is Apache AirFlow?
Apache Airflow is an open-source workflow orchestration platform that allows users to programmatically author, schedule, and monitor complex computational workflows. It solves the problem of managing and automating batch-oriented data pipelines, ETL processes, and other task dependencies by defining everything as code. This approach ensures workflows are maintainable, version-controlled, and collaborative.
Data engineers, data scientists, DevOps engineers, and platform teams who need to automate, schedule, and monitor batch data pipelines, ETL jobs, machine learning workflows, and other computational tasks.
Developers choose Airflow for its code-first approach to workflow definition, extensive extensibility through custom operators, and a rich ecosystem of providers. Its dynamic nature, combined with a powerful UI and robust scheduling, makes it a preferred solution for orchestrating complex, production-grade workflows over alternatives like cron scripts or manual scheduling.
Overview
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Use Cases
Best For
- Orchestrating ETL (Extract, Transform, Load) data pipelines
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