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
Paypal logoAirbnb logoWalmart logoSlack logoHomeToGo logoRenaissance logoQuintoAndar logoNetlify logoSensor Data logoAXS logoReforge logoPollen logoMonzo logoMattermost logoFreshly Cosmetic logoGoCanvas logoBabylon Health logoLucid logoDelivery Hero logoVacasa logoGrainger logoHubspot logoHotjar logoGetSales logoSmile Direct Club logoK Health logoConvoy logoToo Good To Go logoAzimo logoBol logoStride logoPluralsight logoManyPets logoOneFootball logoterality logoswile logoCircleUp logoHubla logoInfoPrice logoCraft logoFanatics Inc logoJMAN Group logoCortex logoGameChanger logoDashlane logowisdomgarden logo
Good Eggs logoMejuri logoDutchie logoAngellist Talent logoAritzia logoAirbyte logo
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