Here’s the difference between Castor and Count. The comparison is based on pricing, deployment, business model, and other important factors.
Castor is a cloud-based collaborative data discovery tool for companies. It provides a plug-and-play and collaboration tool that enable enterprises to document all the knowledge related to data within the company with lineage, data catalog, search, GDPR, & data management features. Monetizes through subscription-based pricing plans.
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.
Overview | ||
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Categories | Data Discovery, Data Privacy and Governance, Data Cataloging | Data Workspace/ Collaboration |
Stage | Early Stage | Mid Stage |
Target Segment | Mid size | Mid Size, Enterprise |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Contact Sales, Freemium | Freemium, Contact Sales |
Location | Paris, France | London, England |
Companies using it | ||
Contact info |