Here’s the difference between Orchest and Elementary Data. The comparison is based on pricing, deployment, business model, and other important factors.
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.
Elementary is an open-source data observability framework for modern data teams, starting with data lineage.
| Overview | ||
|---|---|---|
| Categories | Workflow Orchestration | Data Quality Monitoring |
| Stage | Early Stage | Early Stage |
| Target Segment | Mid Size, Enterprise | Mid Size |
| Deployment | Open Source | Open Source |
| Business Model | Commercial | Open Source |
| Pricing | Freemium / , Contact Sales | Freemium |
| Location | Rotterdam, Netherlands | US |
| Companies using it | ||
| Contact info |