Here’s the difference between Great Expectations and PipeRider. The comparison is based on pricing, deployment, business model, and other important factors.
Great Expectations provides open-source enterprise data management solutions. It helps data teams eliminate pipeline debt, through data testing, documentation, and profiling. It maintains up-to-date data documentation by rendering expectations directly into clean, human-readable documentation. Users can join to GitHub and Slack community groups.
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 Quality Monitoring | Data Quality Monitoring |
Stage | Early Stage | Early Stage |
Target Segment | Mid size | SMB's, Mid-Size |
Deployment | On Prem | Open Source |
Business Model | Open Source | Open Source |
Pricing | Freemium | Freemium |
Location | California, US | Taipei City, Taiwan |
Companies using it | ||
Contact info |