Here’s the difference between Metaphor and Great Expectations. The comparison is based on pricing, deployment, business model, and other important factors.
Metaphor is a search and discovery tool built for data scientists, data engineers, and AI practitioners. It aims to help all organizations better understand and manage their data through the power of the metadata knowledge graph.
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.
Overview | ||
---|---|---|
Categories | Data Discovery, Data Cataloging | Data Quality Monitoring |
Stage | Early Stage | Early Stage |
Target Segment | Mid size | Mid size |
Deployment | SaaS | On Prem |
Business Model | Commercial | Open Source |
Pricing | Contact Sales, Free trial | Freemium |
Location | US | California, US |
Companies using it | ||
Contact info |