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.
|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|