Airflow

Apache Airflow is an open-source platform for programmatically authoring, scheduling, and monitoring workflows. It allows data engineers and data scientists to define complex data pipelines as Directed Acyclic Graphs (DAGs) of tasks, making them reproducible, scalable, and maintainable.

Companies need Airflow now to orchestrate the complex, multi-step data pipelines required for modern AI/ML systems, including data ingestion, preprocessing, model training, and deployment. As organizations move from batch to real-time and hybrid data processing, Airflow's flexibility and extensive integration ecosystem make it a critical tool for managing data workflows at scale, especially with the rise of MLOps.