Compare - Airflow VS Lightdash

Here’s the difference between Airflow and Lightdash. 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 Lightdash

Lightdash removes the gap between your data transformation layer and your data visualization layer. It enables data analysts and engineers to control all of their business intelligence (data transformations/business logic as well as data visualization) in a single place. Lightdash integrates with your dbt project and gives a framework for defining metrics and specifying joins between models all within your existing dbt YAML files. The data output from your dbt project is then available for exploring and sharing in Lightdash.

Comparison Table

Overview
CategoriesWorkflow OrchestrationMetrics Store, Business Intelligence (BI)
StageEarly StageEarly Stage
Target SegmentEnterprise, Mid sizeMid size, SMBs
DeploymentSaaSOpen source
Business ModelOpen SourceOpen Source
PricingNot AvailableFreemium
LocationUSUK
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 logo
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