Here’s the difference between Lightdash and Count. The comparison is based on pricing, deployment, business model, and other important factors.
Lightdash removes the gap between your data transformation layer and your data visualization layer. It enables data analysts and engineers to control all of their business intelligence (data transformations/business logic as well as data visualization) in a single place. Lightdash integrates with your dbt project and gives a framework for defining metrics and specifying joins between models all within your existing dbt YAML files. The data output from your dbt project is then available for exploring and sharing in Lightdash.
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.
|Categories||Metrics Store, Business Intelligence (BI)||Data Workspace/ Collaboration|
|Stage||Early Stage||Mid Stage|
|Target Segment||Mid size, SMBs||Mid Size, Enterprise|
|Business Model||Open Source||Commercial|
|Pricing||Freemium||Freemium, Contact Sales|
|Companies using it|