Compare - Airflow VS Great Expectations

Here’s the difference between Airflow and Great Expectations. 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 Great Expectations

Great Expectations provides open-source enterprise data management solutions. It helps data teams eliminate pipeline debt, through data testing, documentation, and profiling. It maintains up-to-date data documentation by rendering expectations directly into clean, human-readable documentation. Users can join to GitHub and Slack community groups.

Comparison Table

Overview
CategoriesWorkflow OrchestrationData Quality Monitoring
StageEarly StageEarly Stage
Target SegmentEnterprise, Mid sizeMid size
DeploymentSaaSOn Prem
Business ModelOpen SourceOpen Source
PricingNot AvailableFreemium
LocationUSCalifornia, US
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
Fanatics Inc logo
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