Qdrant
Qdrant is an open-source Rust-based vector search engine and database.
Updated April 2026
Overview
- Website
- qdrant.tech
- Founded
- 2021
- Headquarters
- Berlin, Germany
- Segment
- Vector Databases
- Posture
- Purpose-Built Vector DB
Product overview
Qdrant provides an open-source vector database with Qdrant Cloud (managed service), Hybrid Cloud, Private Cloud, and Edge deployments for scalable vector similarity search, supporting hybrid search, multi-vector retrieval, advanced filtering, and real-time indexing. Used by companies like Bosch, Dust, Lyzr, and AI platforms for RAG, semantic search, recommendations, and agentic AI at scale. Distinct for Rust-built performance, composable retrieval primitives, memory-efficient storage with quantization, and flexible deployment options including SOC2/HIPAA compliance.
Revenue model
Open-source core with paid cloud tiers: Free (1GB RAM/4GB disk), Standard (usage-based on vCPU/RAM/storage hourly), Premium (min spend, enterprise features), Hybrid/Private Cloud (custom licensing).
Moat
Qdrant's key competitive moat is its purpose-built, high-performance vector search engine implemented in Rust, delivering unmatched low-latency, scalability, and composability for production AI workloads through custom HNSW algorithms, advanced filtering, and flexible deployment options across cloud, hybrid, on-premise, and edge. This technical superiority creates high switching costs via optimized efficiency features like quantization and multitenancy, while its open-source foundation fosters developer trust and rapid innovation in a crowded market.