Here’s the difference between Sigma and Count. The comparison is based on pricing, deployment, business model, and other important factors.
Sigma computing offers a data discovery platform to users for querying data from their warehouses. Compatible with multiple data warehouses including Snowflake, Google BigQuery, and Amazon Redshift. Users can build queries for extracting data through its visual interface and excel-like formulae.
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 | Business Intelligence (BI), Spreadsheet based BI | Data Workspace/ Collaboration |
Stage | Mid Stage | Mid Stage |
Target Segment | Enterprise, Mid size | Mid Size, Enterprise |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Free trial | Freemium, Contact Sales |
Location | California, US | London, England |
Companies using it | ||
Contact info |