Compare - Airflow VS Dagster

Here’s the difference between Airflow and Dagster. The comparison is based on pricing, deployment, business model, and other important factors.

About Airflow

Apache Airflow is a workflow automation and scheduling system that can be used to author and manage data pipelines. Airflow uses workflows made of directed acyclic graphs (DAGs) of tasks.

About Dagster

Dagster is an orchestrator that's designed for developing and maintaining data assets, such as tables, data sets, machine learning models, and reports.You declare functions that you want to run and the data assets that those functions produce or update. Dagster then helps you run your functions at the right time and keep your assets up-to-date.

Comparison Table

Overview
CategoriesWorkflow OrchestrationWorkflow Orchestration
StageEarly StageEarly Stage
Target SegmentEnterprise, Mid sizeMid size, Enterprise
DeploymentSaaSOn PremSaaS
Business ModelOpen SourceOpen Source
PricingNot AvailableFreemium, Contact Sales
LocationUSUnited States
Companies using it
HomeToGo logoNetlify logoAirbnb logoQuintoAndar logoSensor Data logoMattermost logoPollen logoReforge logoAXS logoRenaissance logoPaypal logoMonzo logoFreshly Cosmetic logoGoCanvas logoWalmart logoSlack logoGetSales logoPluralsight logoSmile Direct Club logoBol logoStride logoToo Good To Go logoConvoy logoAzimo logoLucid logoBabylon Health logoHotjar logoDelivery Hero logoVacasa logoHubspot logoGrainger logoK Health logoterality logoOneFootball logoManyPets logoswile logoCircleUp logoHubla logoInfoPrice logoCraft logoJMAN Group logoGameChanger logoostro logoawmr logowisdomgarden logoFanatics Inc logoCortex logoDashlane logo
Mejuri logoGood Eggs logoDutchie logoAngellist Talent logoAritzia logoAirbyte logo
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