Here’s the difference between Amundsen and Count. The comparison is based on pricing, deployment, business model, and other important factors.
Open-source data discovery and metadata platform. Data engineers and analysts can search for data within the organization by a simple text search and the page rank search algorithm recommends results based on names, descriptions, tags, and querying/viewing activity on the table/dashboard. Also, it allows to build trust in data using automated metadata.
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 Cataloging | 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 | Free trial | Freemium, Contact Sales |
Location | US | London, England |
Companies using it | ||
Contact info |