Compare - Count VS PopSQL

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

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.

About PopSQL

PopSQL is a SQL editor for teams. It provides a solution to write queries, visualize data and share results with the team. It enables the user to share the result of SQL queries using URL. It generates charts to visualize data. It also tracks changes to revert back in case of any mistake. The features include SSH tunnel support, schema inspector, shared connection to centrally manage organizations database connection, and facility to copy results to clipboard or export in CSV, TSV, or JSON format. It supports a wide range of databases such as PostgreSQL, MySQL, BigQuery, SQL Server, Redshift, Snowflake, SQLite, Presto, Cassandra, Oracle, and ODBC. The pricing model is based on monthly usage. Customers include Instacart, Redfin, Auth0, and Clearbit.

Comparison Table

Overview
CategoriesData Workspace/ CollaborationData Workspace/ Collaboration
StageMid StageMid Stage
Target SegmentMid Size, EnterpriseMid size, Enterprise
DeploymentSaaSSaaS
Business ModelCommercialCommercial
PricingFreemium, Contact SalesFreemium, Contact Sales
LocationLondon, EnglandSan Francisco, California
Companies using it
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Contact info
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