Go faster. Query local
Enjoy the lightning-fast performance of DuckDB, and the power of Python with local cells. The more cells you run in the browser, the fewer queries are run against your database.
.svg)
%401x.svg)
Join data sources togetherThink blending a CSV and a Redshift table.- Reduce query load on your databaseThe more cells you run in the browser, the fewer run on your database.
- Improve query performanceDuckDB is much faster than most databases for analytical queries.
DuckDB in the browser
Local DuckDB cells mean you can access DuckDB's lightning-fast database natively in each canvas. Query data from your database, CSV files, or Python cells in DuckDB. Merge and blend them together as you wish.
Python in the browser
Each Count canvas also comes with Python. No pre-installation or package download necessary. Just start importing your modules and start analyzing.
DuckDB is one of the most performant databases on the market for analytical queries.
Work alone, with a teammate, or with hundreds of people at once. Powerful permissions to make sure people have access to only what they need.
No downloads. No pip installs. It’s just there, ready to use in every canvas.
Explore other features
Count connects to all major databases, syncs with both dbt Cloud and Core and you can even embed dashboards from Tableau and Looker so you can collaborate across all your data assets in real-time.
Get started for free
Start solving your organization's biggest problems with Count today.
