Here’s the difference between Metaphor and Orchest. 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.
Orchest is an open-source, cloud-native, development environment built for data science. Orchest helps you build data pipelines, the easy way. No frameworks. No YAML. Just write Python and R code in notebooks.
Overview | ||
---|---|---|
Categories | Data Discovery, Data Cataloging | Workflow Orchestration |
Stage | Early Stage | Early Stage |
Target Segment | Mid size | Mid Size, Enterprise |
Deployment | SaaS | Open Source |
Business Model | Commercial | Commercial |
Pricing | Contact Sales, Free trial | Freemium / , Contact Sales |
Location | US | Rotterdam, Netherlands |
Companies using it | ||
Contact info |