What is Count?

Count is a collaborative analytics platform that combines the flexibility of a whiteboard with the power of live data. It's a space where teams can explore data, build analyses, and make decisions together—with or without AI assistance.

Key features

• Collaborative canvas: Work together in real-time on analyses, reports, and dashboards
• Flexible toolset: SQL, Python, visualizations, text, and annotations in one place
• Count AI: An AI agent that can help with analysis when you need it
• Compute layer: Runs queries efficiently to reduce warehouse costs
• Enterprise governance: Security, permissions, and version control
• No lock-in: Integrate with your existing stack (dbt, GitHub, APIs)

Core concepts

Learn about Count's main components:

• Collaborative Canvas & Agent Experience - The workspace where analysis happens
• Compute Layer - How Count reduces warehouse costs
• Governance & Flexibility - Enterprise features without lock-in

Get started

• Getting Started with Count - Set up your first workspace
• Connect a data source - Link to your warehouse
• Canvas basics - Learn the interface
• Count Metrics - Define reusable metrics
• Migration guides - Moving from other tools

Common use cases

• Exploratory analysis and reporting
• Root cause analysis
• Operational dashboards
• Data modeling with dbt integration
• Metric maps and funnels
• Collaborative decision-making