Count
count.co
  • Getting Started
    • What is Count?
    • Count FAQ
    • Intro to your workspace
    • Example canvases
    • Getting started guides
      • Set up your workspace and projects
        • 1. Review workspace settings
        • 2. Create and organise your projects
      • Canvas orientation
      • Your first ad hoc analysis
        • 1. Examples and templates
        • 2. Build your first queries
        • 3. Create visuals
        • 4. Caching, local cells and scheduling
        • 5. Collaborating with a stakeholder
      • Your first report
        • 1. Examples and templates
        • 2. Filters and control cells
        • 3. Sharing your report
        • 4. Alerts
  • Connect your data
    • Database connection overview
      • Athena
      • Azure Synapse
      • BigQuery
      • Databricks
      • Microsoft SQL Server
      • MySQL
      • PostgreSQL
      • Redshift
      • Snowflake
    • Refresh database schema
    • Upload CSV files
    • dbt integration
      • ☁️dbt Cloud integration
      • 👩‍💻dbt Core integration
  • Import & Export
    • Import from other tools
      • Import Miro files
      • Import SQL files
      • Import Google Sheets
      • Import Jupyter notebooks
    • Export code and results
      • Export compiled SQL and Jinja-SQL
      • Export CSV files
      • Export images and PDF files
  • THE CANVAS
    • Navigating the canvas
      • Canvas tool bar
      • Data sidebar
      • Customizing the canvas
    • Canvas objects
      • Cells
      • Text and markdown
      • Shapes and tools
      • Sticky notes
      • Frames
      • Images
      • Embeds
      • Stamps
      • Grouping objects
      • Object order and alignment
      • Locking objects
      • Scaling objects
      • Shared styles
    • Overviews
    • Templates
    • Count AI
    • Alerts and subscriptions
      • Slack integration
    • Keyboard shortcuts
  • Querying data
    • Cells overview
      • Dynamic query compilation engine
    • SQL cells
      • Referencing other cells
      • Jinja templating
      • SQL formatting
    • Python cells
    • Visual and low-code cells
      • Calculations in visuals and low-code cells
      • Joins in visuals and low-code cells
    • Control cells
      • Single and multiple selects
      • Date controls
      • Text, number, and boolean controls
      • Custom control cells
    • Local DuckDB cells
      • DuckDB on the server
    • Query caching and scheduling
    • Manage queries and results
    • Troubleshooting
  • Visualizing data
    • Visualization overview
    • Templated visuals
    • Custom visuals
      • Marks
      • Facet
      • Subplots
      • Style
      • Filters
    • Formatting a visual
      • Axes
        • Secondary Axis
      • Colors and labels
      • Legends
      • Tooltips
    • Column summaries
    • Dynamic text
    • Every Visual Under the Sun
  • Presenting and Reporting
    • Reports and Slides
  • Count Metrics
    • Intro to Count Metrics
    • Build and edit a catalog
    • Views
      • Creating views
      • Customizing views
    • Datasets
      • Creating datasets
    • Save changes to the catalog
      • Catalog validation
      • Version control
    • Exposing catalogs to the workspace
    • Caching in Count Metrics
    • Using the catalog
      • Explore from cell
  • Sharing and Permissions
    • Real-time collaboration
    • Comments
    • Sharing permissions
    • Shared links
    • Embedding canvases
  • History and Versions
    • Version control
    • Duplicating and merging
    • Data snapshots
  • Settings and administration
    • Workspace settings
      • Workspace members
      • Groups
      • Tags
      • Billing
      • Single sign-on (SSO)
        • Okta
        • Entra ID
        • JumpCloud
        • Google
        • Generic OIDC
      • Brand
    • Connection settings
    • Project settings
    • User settings
    • Roles and permissions
  • Quick guides
    • Interactive control guides
      • Date ranges
      • Date groupings
      • Search
      • Select All
  • Resources
    • Join the Slack community
  • Blog
  • Security overview
  • Terms of use
  • Pricing FAQ
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On this page
  • How is the Count canvas different from a traditional BI tool?
  • How is canvas different from a digital whiteboard?
  1. Getting Started

What is Count?

Welcome to Count, the world's most collaborative data platform.

NextCount FAQ

Last updated 1 year ago

turns analytics into a team sport. It combines the collaborative experience of a virtual whiteboard (like Miro or Figma) with the power of your favourite SQL IDE and viz tool to create one place where data and business teams can work together, explore data, and solve problems fast.

Count is all about improving communication across the team to increase confidence and reduce unused analysis.

  • Iterate and get feedback quickly on deep dive or strategic analysis. Bring together the full business problem and data in the canvas to reach conclusions faster.

  • Showcase each step of your analysis or data model to get feedback and buy in from the wider team.

  • Present findings any way you wish: as a notebook, slide deck or something more exotic like a process flow map. Whatever you need to make your data story totally clear.

How is the Count canvas different from a traditional BI tool?

  • The canvas unifies the full analytics process and provides a single place for requirements gathering, prototyping, query writing, data modeling, visualization, reporting, and documentation.

  • The canvas is a real-time, multiplayer environment. Everyone sees all changes as they happen.

  • By offering stickies, text and commenting, the canvas invites everyone to be part of the analytics process, not just data professionals.

  • The infinitely flexible 2D space allows you to build anything you can think of in a pixel-perfect way. Dashboards, notebooks, reports, diagrams, infographics, etc. You are only limited by your imagination.

  • The cellular approach to data analysis allows for rapid development where you stay in flow.

How is canvas different from a digital whiteboard?

  • The Count canvas is connected to your data. As the data updates, charts and tables in canvas update.

  • Query parameterization allows users to filter data in a self-service manner

Count