Count vs Looker
Side-by-side comparison of AI visibility scores, market position, and capabilities
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.
About
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.
Google Cloud BI platform with LookML semantic layer ensuring consistent metric definitions across enterprises; $2.6B Google acquisition competing with Tableau and Power BI for enterprise self-service analytics.
About
Looker is a business intelligence and data analytics platform now part of Google Cloud — providing the LookML data modeling language, self-service exploration tools, embedded analytics, and natural language querying capabilities that enable data teams to define metrics once and make them available consistently across the organization. Founded in 2012 in Santa Cruz, California by Lloyd Tabb and Ben Porterfield, Looker was acquired by Google for $2.6 billion in 2019 and has been integrated into Google Cloud as the primary BI platform alongside Google Looker Studio (formerly Data Studio).
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