Count vs Redis
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.
In-memory database powering caches, sessions, and real-time AI workloads; Vector Search enables RAG applications using Redis as combined cache and vector store.
About
Redis is an open-source, in-memory data structure store used as a database, cache, message broker, and streaming engine, and the company Redis Ltd. provides enterprise-grade Redis products and cloud hosting services. Created in 2009 by Salvatore Sanfilippo (antirez), Redis became one of the most popular open-source projects in computing, used by virtually every major technology company for caching, session management, real-time analytics, and pub/sub messaging. Redis Ltd. (the commercial company) was founded to provide enterprise support, Redis Enterprise features, and the Redis Cloud managed service.
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