Apache Airflow vs Dagster

Apache Airflow is an open-source workflow orchestration platform for programmatically authoring, scheduling, and monitoring data pipelines. Workflows are defined as directed acyclic graphs (DAGs) in Python, with a web-based UI for monitoring and management. Airflow is widely used for ETL/ELT workflows, ML pipelines, and data engineering tasks.

Dagster Data orchestration platform for building, testing, and deploying data pipelines with software-defined assets.