Company Intelligence
Qdrant
Qdrant is the ultra-high performance vector similarity search engine built in Rust, leading the market in payload filtering precision and memory-efficient quantized vector storage.
- Country
- Germany
- Website
- qdrant.tech
- Products
- 1
- Reports
- 4
- Last reviewed
- Aug 2026
Overview
What this company is, what it builds, and who it serves.
Qdrant is a high-performance vector database company founded in Berlin in 2021 by Andre Zayarni and Andrey Vasnetsov. Written entirely in the Rust programming language, Qdrant is renowned for unmatched computational efficiency, safety, and scalable vector indexing.
Who it serves
High-throughput systems engineers, enterprise search architects, and production AI teams demanding microsecond vector search latency and massive cost efficiency.
What it builds
Qdrant Open Source, Qdrant Cloud (Managed SaaS), Qdrant Hybrid Cloud (Kubernetes on-prem), and binary vector quantization toolkit.
Why It Matters
Qdrant is the ultra-high performance vector similarity search engine built in Rust, leading the market in payload filtering precision and memory-efficient quantized vector storage.
Products
Products and platforms connected to this company.
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Qdrant — Enterprise AI platform
Explore Qdrant — Enterprise AI platform by Qdrant. Verified AI product intelligence covering core capabilities, Enterprise Software use…
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Founders
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Ecosystem
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Company
Qdrant
Industry
Products
Technologies
Capabilities
- High-performance vector indexing written natively in Rust
- Advanced payload-based filtered search without recall degradation
- Scalar and binary vector quantization reducing memory consumption by up to 95%
- Distributed vector sharding and cloud-agnostic Kubernetes orchestration
Features
- Qdrant Cloud managed vector database
- In-memory and on-disk vector storage modes
- Geo-spatial and structured metadata payload filtering
- Native gRPC and REST APIs with Python, Go, Rust, and TypeScript SDKs
Models
Country
Official Resources
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Frequently Asked Questions
What is Qdrant?
Qdrant is an open-source vector similarity search engine and database written in Rust, engineered for high throughput, low latency, and memory-efficient filtering over massive embedding datasets.
Who founded Qdrant?
Qdrant was founded in 2021 in Berlin by Andre Zayarni and Andrey Vasnetsov.
What is vector quantization in Qdrant?
Vector quantization in Qdrant is a compression technique (scalar and binary) that converts 32-bit floating-point numbers into 8-bit integers or 1-bit binary representations, reducing RAM usage by up to 95% while retaining high retrieval accuracy.
Sources & Verification
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Primary sources
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