Here’s the difference between Coginiti and Great Expectations. The comparison is based on pricing, deployment, business model, and other important factors.
Coginiti provides integrated analytics management tools powering collaboration between data engineers and business analysts. It couples ad-hoc data ingestion, data query, and discovery with the analytics catalog to enable companies create, share, and reuse SQL analytics.
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 | Data Workspace/ Collaboration | Data Quality Monitoring |
Stage | Early Stage | Early Stage |
Target Segment | Enterprise, Mid size, SMBs | Mid size |
Deployment | On Prem | On Prem |
Business Model | Commercial | Open Source |
Pricing | Free trial, Contact Sales | Freemium |
Location | California, US | California, US |
Companies using it | ||
Contact info |