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.
Many problems are complex and require divergent approaches to analysis. Unlike traditional data notebooks, Count gives us the flexibility to explore various angles and find things we might have missed.
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.
SQL
Python
Complex visuals
The more complex, the better
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.
Full real-time collaboration
Dynamic query engine
Reactive DAG
Responsive Video Loop
A place to think together
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.