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How does R handle DAG-based workflow orchestration compared to Airflow?

Updated May 24, 2026

Short answer

R uses targets for in-language DAG orchestration, while Airflow is external workflow orchestration.

Deep explanation

targets builds DAGs inside R with dependency tracking and caching, whereas Airflow orchestrates heterogeneous systems across languages. targets is computation-aware; Airflow is scheduling-aware.

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