Compare - Continual VS Count
Here’s the difference between Continual and Count. The comparison is based on pricing, deployment, business model, and other important factors.
About Continual
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.
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 | Feature Store | Data Workspace/ Collaboration |
| Stage | Early Stage | Mid Stage |
| Target Segment | Mid size, Enterprise | Mid Size, Enterprise |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Contact Sales | Freemium, Contact Sales |
| Location | San Francisco, California | London, England |
| Companies using it | ||
| Contact info |
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