Here’s the difference between Apache Spark and PipeRider. The comparison is based on pricing, deployment, business model, and other important factors.
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.
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 | Data Modelling and Transformation | Data Quality Monitoring |
Stage | Late Stage | Early Stage |
Target Segment | Mid Size, Enterprise | SMB's, Mid-Size |
Deployment | On Prem | Open Source |
Business Model | Open Source | Open Source |
Pricing | Freemium | Freemium |
Location | US | Taipei City, Taiwan |
Companies using it | ||
Contact info |