Integrations
Connect your data, tools and files, so every answer Count gives can be traced back to its source.
Leverage all the functionality and data in your data warehouse directly in Count.
Connect Count directly to an existing semantic layer or use Count’s own semantic layer to define business metrics.
Business applications
Connect Count directly to your business applications and bring in your data and business context from hard to reach places.
Upload CSVs to query like any table, images to use on the canvas, and PDF, Excel or Word files to work with in Python.
Access your dbt models and meta data directly in the canvas and push back any changes directly from within Count.
Version control and sync agent context and business logic within Count metrics directly with GitHub.
Use Count’s API to control your workspace, schedule workflows and access your data.
Ask Count’s AI agent questions directly from Slack and get answers to anyone in your organization, instantly.
Access Count’s agent or query any data source directly within any other AI platform.
All your sources together without the warehouse bill
Connect your warehouse, semantic layer, files, and business tools in one canvas.
Count's compute layer routes queries intelligently - big joins run on your warehouse, everything else runs on Count's servers or in your browser. You get full access to all your data without every ad hoc question hitting your Snowflake bill.
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