Here’s the difference between Airflow and Apache Spark. The comparison is based on pricing, deployment, business model, and other important factors.
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.
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.
Overview | ||
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Categories | Workflow Orchestration | Data Modelling and Transformation |
Stage | Early Stage | Late Stage |
Target Segment | Enterprise, Mid size | Mid Size, Enterprise |
Deployment | SaaS | On Prem |
Business Model | Open Source | Open Source |
Pricing | Not Available | Freemium |
Location | US | US |
Companies using it | ||
Contact info |