Here’s the difference between Great Expectations and Elementary Data. 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.
Elementary is an open-source data observability framework for modern data teams, starting with data lineage.
| Overview | ||
|---|---|---|
| Categories | Data Quality Monitoring | Data Quality Monitoring |
| Stage | Early Stage | Early Stage |
| Target Segment | Mid size | Mid Size |
| Deployment | On Prem | Open Source |
| Business Model | Open Source | Open Source |
| Pricing | Freemium | Freemium |
| Location | California, US | US |
| Companies using it | ||
| Contact info |