Here’s the difference between Alation and Count. The comparison is based on pricing, deployment, business model, and other important factors.
Alation provides a data cataloging platform. It automatically builds a catalog of useful data documentation, covering all of the data sources, and allows users to collaborate and work on the data. It processes enterprise unstructured data by centralizing knowledge into a single place using machine learning and human analysts. The search can be made using keywords in plain English. Enables users to access relevant information (including experts, lineage, keys and indexes, relevant queries) and documentation on all tables, across the organization’s data sources. The clients include PepsiCo, Dow, Fox Networks, BMW and others.
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 | Late Stage | Mid Stage |
Target Segment | Enterprise, Mid size | Mid Size, Enterprise |
Deployment | SaaSOn Prem | SaaS |
Business Model | Commercial | Commercial |
Pricing | Free trial | Freemium, Contact Sales |
Location | California, US | London, England |
Companies using it | ||
Contact info |