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
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
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