Here’s the difference between Great Expectations and Griffin. 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.
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 | Mid size | Enterprise, Mid size |
Deployment | On Prem | On Prem |
Business Model | Open Source | Open Source |
Pricing | Freemium | Freemium |
Location | California, US | US |
Companies using it | ||
Contact info |