Qdrant vs Redis
Side-by-side comparison of AI visibility scores, market position, and capabilities
Open-source vector database written in Rust. $50M Series B (March 2026), $87.8M total. 250M+ downloads, 29K GitHub stars. Clients: Tripadvisor, HubSpot, Bosch. Private.
About
Qdrant is a vector search engine company founded in 2021 by Andre Zayarni, headquartered in Berlin, Germany. It develops a high-performance open-source vector database optimized for AI retrieval and similarity matching, written in Rust. In March 2026, Qdrant raised $50M Series B led by Advance Venture Partners, bringing total funding to ~$87.8M.
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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