The canvas lets you see your data models like never before. Import a model and all of its dependencies, explode each CTE as its own cell, and work with live results from your database. Identify bugs quickly, test changes, and deploy code back to dbt, all while collaborating in real-time.
Count makes it easy to work with your data models no matter where they are. Choose which models, and macros to import directly from dbt Cloud and dbt Core, or simply paste in your SQL scripts into the canvas.
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Stop digging through 1,000s of lines of someone else's code to find bugs. The canvas makes it easier than ever to visualize, and understand the logic behind complex data models. Explode models into DAGs of connected CTEs. Edit and run queries against your database for realtime results of every step in your model.
Testing code changes becomes as easy as comparing two cells side by side. Export the new code directly to GitHub, export Jinjia-fied or compiled SQL to go into any tool you need.
Annotate and explain core business logic with business stakeholders. Work through data quality issues in real-time and showcase your work to the whole business.
Move between SQL, Python and no-code effortlessly.
Run cells on any database you want, and switch sources with one click.
Never lose your work with automatic version control that snapshots your code and your results together.
Justin Freels
Data Engineering Senior Manager, Accenture
Start solving your organization's biggest problems with Count today.
