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Azure Data Factory vs Dagster

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Dagster

6.6#7 in data orchestration software
WebAPILinuxSelf-hosted
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What both publish

FactAzure Data FactoryDagster
HeadquartersRedmond, Washington, USASan Francisco, California, United States
What it doesAzure Data Factory is a fully managed, serverless cloud service for ingesting, transforming, publishing and orchestrating data workflows.Dagster describes itself as a data-aware orchestrator for building, running, and monitoring data pipelines and assets.

Azure Data Factory plans

  • Data movement (self-hosted IR)$0.10 a month
  • Data movement (Azure or managed VNET IR)$0.25 a month
  • Pipeline orchestration (Azure integration runtime)$1 a month
  • Pipeline orchestration (self-hosted integration runtime)$1.50 a month

Dagster plans

  • Solo$10 a month
  • Starter$100 a month
  • ProPriced on request
  • Solo Plan$10 a month
  • Starter Plan$100 a month
  • Pro PlanPriced on request

Pick Azure Data Factory if…

It suits organizations managing data workflows across hybrid environments. Teams needing incremental loading, change capture or custom transformation logic may find its listed capabilities relevant.

Pick Dagster if…

Dagster suits teams building and monitoring data pipelines that need asset lineage, quality checks, or hybrid deployment. Its open-source core may also suit those seeking an orchestration framework available on GitHub.

Charts they share