Compare - Airflow VS Continual

Here’s the difference between Airflow and Continual. 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 Continual

Continual is the missing AI layer for the modern data stack. Get continually improving predictions – from customer churn to inventory forecasts – directly in your data warehouse. No complex engineering required.

Comparison Table

Overview
CategoriesWorkflow OrchestrationFeature Store
StageEarly StageEarly Stage
Target SegmentEnterprise, Mid sizeMid size, Enterprise
DeploymentSaaSSaaS
Business ModelOpen SourceCommercial
PricingNot AvailableContact Sales
LocationUSSan Francisco, California
Companies using it
Airbnb logoWalmart logoSlack logoRenaissance logoAXS logoFreshly Cosmetic logoGoCanvas logoPaypal logoHomeToGo logoQuintoAndar logoNetlify logoSensor Data logoReforge logoPollen logoMonzo logoMattermost logoHotjar logoGetSales logoVacasa logoGrainger logoAzimo logoPluralsight logoLucid logoHubspot logoSmile Direct Club logoK Health logoBabylon Health logoDelivery Hero logoConvoy logoToo Good To Go logoStride logoBol logoOneFootball logoCircleUp logoManyPets logoswile logoHubla logoInfoPrice logoterality logoFanatics Inc logoCraft logowisdomgarden logoCortex logoawmr logoJMAN Group logoGameChanger logoDashlane logoostro logo
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