Compare - Airflow VS Apache Spark

Here’s the difference between Airflow and Apache Spark. 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 Apache Spark

Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.

Comparison Table

Overview
CategoriesWorkflow OrchestrationData Modelling and Transformation
StageEarly StageLate Stage
Target SegmentEnterprise, Mid sizeMid Size, Enterprise
DeploymentSaaSOn Prem
Business ModelOpen SourceOpen Source
PricingNot AvailableFreemium
LocationUSUS
Companies using it
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FOX logostreamnative logoPluralsight logoCircleUp logoterality logoInfoPrice logoFanatics Inc logodadosfera logoSelectDB logoCHONGTECHNOLOGIES logoDashlane logoApache Doris logo
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