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
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