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Qdrant

Category: AI Infrastructure

An open-source, high-performance vector database and search engine built in Rust, purpose-built for production AI workloads including RAG, semantic search, and AI agents. Qdrant was founded in 2021. The company is led by André Zayarni. Based in Berlin, Germany. Team size: 51-100. Total funding raised: $87.5M. Latest round: Series B. Key investors include AVP, Spark Capital, Unusual Ventures, 42CAP, Bosch Ventures, IBB Ventures.

Founded
2021
Headquarters
Berlin, Germany
Team size
51-100
Total funding
$87.5M

Value proposition

High-performance vector search engine with a composable architecture giving engineers explicit control over indexing, filtering, scoring, and ranking — built in Rust for speed and memory safety, with native hybrid search (dense + sparse), multi-vector support, and advanced metadata filtering.

Products and solutions

Qdrant Vector Database (open-source), Qdrant Cloud (managed SaaS on AWS/GCP/Azure), Qdrant Hybrid Cloud (BYO Kubernetes), Qdrant Enterprise Solutions (on-prem/private cloud), Qdrant Cloud Inference (native embedding generation), Qdrant Edge (lightweight edge deployment)

Unique value

The only vector database offering a fully composable retrieval architecture with one-stage filtered HNSW search (no pre/post filtering), native hybrid dense-sparse search, and full-spectrum reranking — all in a Rust-built engine deployable from edge to cloud to on-prem.

Target customer

AI engineering teams and enterprises building production-grade retrieval systems for RAG, recommendation engines, semantic search, and AI agents across e-commerce, legal tech, hospitality, HR tech, and healthcare.

Industries served

E-commerce, Legal Tech, Hospitality & Travel, HR Tech, Healthcare Tech

Technology advantage

Rust-native architecture with SIMD; custom HNSW with one-stage filtered traversal; Gridstore custom storage engine; advanced quantization (asymmetric, scalar, binary); native multi-vector support; full reranking spectrum including ColBERT late interaction and MMR; built-in embedding inference in cloud tier.

How they differentiate

Composable architecture (modular indexing/filtering/scoring/ranking primitives); built entirely in Rust with SIMD optimizations and custom Gridstore engine; native hybrid search (dense + sparse vectors with BM25, SPLADE++, miniCOIL); one-stage filtered HNSW (no pre/post filtering); asymmetric/scalar/binary quantization reducing memory up to 64x; real-time indexing without rebuilds; SOC2 Type II and HIPAA certified; deployable across cloud/hybrid/on-prem/edge.

Main competitors

Pinecone, Weaviate, Milvus (Zilliz)

Key partnerships

Cloud providers: AWS, Google Cloud, Azure, Oracle Cloud Infrastructure (OCI), Red Hat OpenShift, DigitalOcean, Vultr, OVHcloud, Scaleway, Civo, STACKIT. Embeddings: OpenAI, Cohere

Notable customers

Tripadvisor, HubSpot, OpenTable, Bazaarvoice, Bosch, Canva

Major milestones

January 2022: €2M Pre-Seed led by 42CAP and IBB Ventures, April 2023: $7.5M Seed led by Unusual Ventures, January 2024: $28M Series A led by Spark Capital, 2024: Achieved SOC2 Type II and HIPAA certifications, 2024: Exceeded 5M downloads (at Series A), then 250M+ downloads, 2025: Launched Qdrant Hybrid Cloud and Qdrant Cloud Inference, July 2025: Launched Qdrant Edge (private beta), March 2026: $50M Series B led by AVP with Bosch Ventures, 33K+ GitHub stars, 100+ employees across 20+ countries.

Growth metrics

250M+ downloads; 33.2K GitHub stars; 60K+ community members; 100+ employees; 9K+ community members

Market positioning

Open-source leader in vector databases for production AI, positioned as a "picks-and-shovels" infrastructure provider. Competes against Pinecone (managed-first), Weaviate (hybrid GraphQL), Milvus (distributed-scale), and Chroma (lightweight). Leads in single-node latency benchmarks at 1M-10M vector scale with strong Rust-based performance differentiation.

Geographic focus

Global (headquarters in Berlin, Germany; team across 20+ countries)

About André Zayarni

Ex-PLAYTOMIC; Ex-MoBerries GmbH. M.Sc. in Computer Science from Karlsruhe University of Applied Sciences (2007). Worked in technology industry since 2009.

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