Here’s the difference between PipeRider and Griffin. The comparison is based on pricing, deployment, business model, and other important factors.
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.
Apache Griffin is a model-driven data quality service platform where you can examine your data on-demand. It provides a standard process to define data quality measures, executions and reports, allowing those examinations across multiple data systems. When you don't trust your data, or concern that poorly controlled data can negatively impact critical decision, you can utilize Apache Griffin to ensure data quality.
Overview | ||
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Categories | Data Quality Monitoring | Data Quality Monitoring |
Stage | Early Stage | Mid Stage |
Target Segment | SMB's, Mid-Size | Enterprise, Mid size |
Deployment | Open Source | On Prem |
Business Model | Open Source | Open Source |
Pricing | Freemium | Freemium |
Location | Taipei City, Taiwan | US |
Companies using it | ||
Contact info |