Compare - Preset VS Count

Here’s the difference between Preset and Count. The comparison is based on pricing, deployment, business model, and other important factors.

About Preset

Preset provides data analytics platform for teams. It is an open-source platform that allows users to analyze and provides actionable insights about the data. Its products include Superset that enables visualize data and build dashboards to interpret and show hidden patterns from the data. It enables users to share reports and insights with teams and explore data analytics solutions. It can be integrated with Amazon RedShift, Google BigQuery, Presto and Druid.

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
CategoriesBusiness Intelligence (BI)Data Workspace/ Collaboration
StageEarly StageMid Stage
Target SegmentMid sizeMid Size, Enterprise
DeploymentSaaSSaaS
Business ModelCommercialCommercial
PricingContact SalesFreemium, Contact Sales
LocationCalifornia, USLondon, England
Companies using it
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