Here’s the difference between Datalogz and PipeRider. The comparison is based on pricing, deployment, business model, and other important factors.
A data collaboration tool that allows users to centralize data dictionaries, ask questions regarding essential data knowledge, clarify user hierarchy, and share analytics.
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 Discovery | Data Quality Monitoring |
Stage | Early Stage | Early Stage |
Target Segment | Mid- size, Enterprise | SMB's, Mid-Size |
Deployment | SaaS | Open Source |
Business Model | Commercial | Open Source |
Pricing | Contact sales | Freemium |
Location | New York City | Taipei City, Taiwan |
Companies using it | ||
Contact info |