Here’s the difference between Airflow and PipeRider. 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.
With PipeRider you can profile your data sources, create highly customizable data quality assertions, and generate insightful reports. It allows you to define the shape of your data once, and then use the data checking functionality to alert you to changes in your data quality.
Overview | ||
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Categories | Workflow Orchestration | Data Quality Monitoring |
Stage | Early Stage | Early Stage |
Target Segment | Enterprise, Mid size | SMB's, Mid-Size |
Deployment | SaaS | Open Source |
Business Model | Open Source | Open Source |
Pricing | Not Available | Freemium |
Location | US | Taipei City, Taiwan |
Companies using it | ||
Contact info |