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Apache Airflow vs Dagster

Apache Airflow: Python tool for authoring, scheduling and monitoring workflows Dagster: Platform for building, scheduling and monitoring data pipelines

Comparison of Apache Airflow, Dagster
Apache Airflow
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Dagster
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CategoryData PipelinesData Pipelines
PricingOpen sourceOpen source
Platforms–
  • Web
Best for
  • Data engineers
  • Backend teams
  • ML engineers
  • Data platform teams
  • Data engineers
  • ML engineers
Highlights
  • Write workflows as Python code with dynamic tasks
  • Monitor run status and task logs in a web interface
  • Ready made operators for major cloud services
  • Define pipelines in Python as data assets
  • View lineage and freshness for each asset
  • Run jobs on schedules or when upstream data changes
GitHub stars47.4k16.4k
Last update2 days ago2 days ago

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