Compare - Great Expectations VS Count
Here’s the difference between Great Expectations and Count. The comparison is based on pricing, deployment, business model, and other important factors.
About Great Expectations
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.
About Count
Count is a collaborative data whiteboard. It combines all the power of your SQL IDE, Python notebook, and BI tool - in a reactive, real-time canvas. Instead of working one query at a time in an IDE, the canvas lets you lay out your entire thought process in one place, and explain not just the answer but how you got there. Analyze data with SQL, Python, or drag-and-drop query builders. Import and export dbt models. Run queries against your database, or locally in the browser using DuckDB and Python. Share canvases to get help from a teammate or feedback from stakeholders. Turn any canvas into a dashboard, report, interactive app, or even a slide deck.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Quality Monitoring | Data Workspace/ Collaboration |
| Stage | Early Stage | Mid Stage |
| Target Segment | Mid size | Mid Size, Enterprise |
| Deployment | On Prem | SaaS |
| Business Model | Open Source | Commercial |
| Pricing | Freemium | Freemium, Contact Sales |
| Location | California, US | London, England |
| Companies using it | ||
| Contact info |
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