Compare - Airflow VS Databand

Here’s the difference between Airflow and Databand. 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 Databand

Databand is a provider of cloud and AI based data observability solutions. It provides an AI platform for unified data pipeline monitoring. It allows data scientists, data engineers, and data analysts to build, manage and optimize their processes for model training, experimentation, testing, and deployment. It is saturated with DataOps in providing automation and integration solutions through a pipeline framework for machine learning and iterative data products.

Comparison Table

Overview
CategoriesWorkflow OrchestrationData Quality Monitoring
StageEarly StageEarly Stage
Target SegmentEnterprise, Mid sizeMid size, Enterprise
DeploymentSaaSSaaS
Business ModelOpen SourceCommercial
PricingNot AvailableContact Sales
LocationUSNew York, US
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 logo
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