The Count canvas is built for solving complex problems with data. Explore data without limits using SQL or Python, discuss findings with stakeholders and tell stories people trust.
Count brings the whole data team together with the business to solve data collaboratively.
Share business context, code and analysis all in one place so everyone is on the same page and you can dig deeper and solve problems fast.
The canvas has everything an analyst needs to deep dive into any problem. Query, visualize, annotate, and discuss findings in one canvas instead of jumping between tools.
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No more keeping track of dozens of queries across different tabs. Use the space of the canvas to break down complex queries, compare results side-by-side, and work with hundreds of queries at once.
Instead of discussing screenshots in Slack, you can invite other analysts and stakeholders into the canvas with one click. Explain your work, get feedback, and find solutions faster by working collaboratively.
Count's visual framework lets you create powerful custom visuals that will help you find patterns and tell your story.
Query data from your database, CSV files or APIs. Merge data sources together in the canvas. Use DuckDB to go faster.
See model metadata, import model logic, macros, and test results.
Justin Freels
Data Engineering Senior Manager, Accenture
From KPI reports to ad-hoc analyses and everything in between. Discover the different ways Count can bring your data to life. See all examples.
Control how and when your data refreshes from static snapshots to hourly.
We only charge you for each user building queries and charts. Everyone else is free! (Limits apply.)
Control exactly who can see your work and how they collaborate with you.
Start solving your organization's biggest problems with Count today.
