Here’s the difference between Great Expectations and Orchest. 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.
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 | ||
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Categories | Data Quality Monitoring | Workflow Orchestration |
Stage | Early Stage | Early Stage |
Target Segment | Mid size | Mid Size, Enterprise |
Deployment | On Prem | Open Source |
Business Model | Open Source | Commercial |
Pricing | Freemium | Freemium / , Contact Sales |
Location | California, US | Rotterdam, Netherlands |
Companies using it | ||
Contact info |