Here’s the difference between Feast and Great Expectations. The comparison is based on pricing, deployment, business model, and other important factors.
Feast is an end-to-end open source feature store for machine learning. It allows teams to define, manage, discover, and serve features.
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.
Overview | ||
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Categories | Feature Store | Data Quality Monitoring |
Stage | Early Stage | Early Stage |
Target Segment | Enterprise | Mid size |
Deployment | SaaS | On Prem |
Business Model | Open Source | Open Source |
Pricing | Free trial | Freemium |
Location | California, US | California, US |
Companies using it | ||
Contact info |