Airflow + Astronomer

Airflow, enhanced by Astronomer, forms a powerful, AI-augmented workflow automation platform for programmatically scheduling, monitoring, and orchestrating complex data and machine learning (ML) pipelines. Apache Airflow is an open-source tool for programmatically authoring, scheduling, and monitoring workflows as Directed Acyclic Graphs (DAGs).

Astronomer builds upon Airflow, providing an enterprise-grade platform that adds critical features like enhanced observability, dynamic DAG generation, and improved scalability for modern data teams. While Airflow itself is a scheduler, Astronomer's platform integrates AI and machine learning to optimize pipeline performance, identify potential bottlenecks, and provide intelligent alerts.

This "AI-augmented" aspect helps data engineers and MLOps teams ensure data quality, monitor SLAs, and automate complex ETL (Extract, Transform, Load) processes. By offering robust features for managing dependencies, backfilling data, and tracking lineage, Airflow and Astronomer together provide a comprehensive solution for building reliable, scalable, and observable data and ML workflows in the cloud and on-premises, critical for the operationalization of AI models.