Qdrant vs Neo4j
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.
World's leading graph database; Native graph storage for fraud detection and knowledge graphs, with GraphRAG enabling structured relationship context for enterprise AI.
About
Neo4j is the world's leading graph database platform, providing native graph storage and processing for applications that require understanding complex relationships between data entities — social networks, fraud detection, knowledge graphs, supply chain mapping, and recommendation engines. Founded in 2007 and headquartered in San Mateo, California with operations in Sweden, Neo4j pioneered the property graph model and the Cypher query language specifically designed for traversing graph relationships at scale.
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