Apache Airflow vs dbt

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.

dbt (data build tool) is an open-source command-line tool for transforming raw data in data warehouses into analytics-ready datasets. It combines the best practices of software engineering with analytics development.