Here’s the difference between Great Expectations and Continual. 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.
Continual is the missing AI layer for the modern data stack. Get continually improving predictions – from customer churn to inventory forecasts – directly in your data warehouse. No complex engineering required.
|Categories||Data Quality Monitoring||Feature Store|
|Stage||Early Stage||Early Stage|
|Target Segment||Mid size||Mid size, Enterprise|
|Business Model||Open Source||Commercial|
|Location||California, US||San Francisco, California|
|Companies using it|