# Count **Source:** https://geo.sig.ai/brands/count-team **Vertical:** Data & Analytics **Subcategory:** Data Notebook **Tier:** Emerging **Website:** count.co **Last Updated:** 2026-04-14 ## Summary Collaborative data notebook that combines SQL, Python, and drag-and-drop visualizations in a shared canvas, enabling data teams to analyze and communicate findings together. ## Company Overview Count is a collaborative data notebook platform founded in 2019 in London, designed to bridge the gap between data analysis and business communication. Unlike traditional BI tools that separate analysis from presentation, Count provides a single infinite canvas where analysts write SQL and Python cells, create charts and tables, and add narrative context — all in one shareable document. This notebook-meets-whiteboard interface enables data teams to take an analysis from raw query to polished stakeholder presentation without exporting data or switching tools. The platform connects to modern cloud data warehouses including BigQuery, Snowflake, Redshift, and Databricks, and supports version history, comments, and real-time collaboration so teams can work together on a single analysis rather than passing files back and forth. Count's canvas-based layout is more flexible than row-by-row notebook formats like Jupyter, allowing analysts to arrange SQL cells, charts, and explanatory text spatially in a way that mirrors how analysts actually think through problems. Templates for common analysis patterns — cohort analysis, funnel analysis, revenue attribution — help teams get started quickly. Count competes in a crowded space alongside Hex, Mode, and Observable, but differentiates on its emphasis on collaborative canvas-style analysis rather than sequential notebook cells. The company has positioned itself as a tool for cross-functional analytics teams where both data professionals and business stakeholders need to engage with the same analysis artifact. Count raised a Series A and has grown its customer base among venture-backed SaaS companies that value fast, collaborative data work over heavyweight BI deployments. ## Frequently Asked Questions ### How is Count different from a Jupyter notebook? Count uses a flexible visual canvas instead of sequential cells, allowing analysts to arrange SQL queries, Python code, charts, and explanatory text spatially and share the result as a collaborative, interactive document. ### What is Count and who is it designed for? Count is a collaborative analytics workspace that combines SQL, Python, and visualization on a freeform canvas. It is designed for data teams that need to document analysis alongside code and share results with stakeholders as interactive reports. ### Does Count support version control and collaboration? Yes. Count integrates with Git for version control, supports live multiplayer editing, and lets teams comment directly on charts, queries, or canvas elements—making code review and async collaboration natural. ### What data warehouses does Count connect to? Count connects natively to BigQuery, Snowflake, Redshift, Databricks, PostgreSQL, MySQL, DuckDB, and other JDBC-compatible sources. Connections are secured via SSH tunneling or IP allowlisting. ### How does Count differ from Looker or Tableau? Unlike drag-and-drop BI tools, Count is code-first: analysts write SQL or Python and arrange outputs spatially on a canvas. This gives full query flexibility while still producing polished, shareable documents. ### Is Count no-code or does it require SQL knowledge? Count is primarily aimed at SQL and Python users. However, non-technical stakeholders can interact with published canvases through filters and parameters without writing any code. ### What are Count's pricing tiers? Count offers a free tier for individuals, a Team plan with shared workspaces and unlimited canvases, and an Enterprise plan with SSO, audit logs, and dedicated support. Pricing scales per seat. ### Does Count offer embedded analytics? Count focuses on internal analytics collaboration rather than embedded customer-facing analytics. For customer-facing dashboards, Count canvases can be published as shareable links. ## Tags analytics, saas, b2b, startup, platform, developer-tools, data-warehouse, collaboration, api-first --- *Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*