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Qdrant

Challenger

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.

Best for: Vector Databases & AI Search
54
AI Score
Grade C↑ Trending
AI Visibility Score (Beta)
Data & AnalyticsVector Databases & AI SearchWebsiteUpdated April 2026

Brand Intelligence Graph

Competes with
Integrates with
Capabilities
Vector Databases & AI Search

Company Overview

About Qdrant

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.

Business Model & Competitive Advantage

Qdrant supports hybrid dense and sparse retrieval with metadata filtering and real-time updates, designed for recommendation systems, semantic search, and autonomous AI agents. The open-source project has 250M+ downloads and 29K+ GitHub stars. Enterprise clients include Tripadvisor, HubSpot, OpenTable, Bazaarvoice, and Bosch.

Competitive Landscape 2025–2026

The 2026 funding targets product R&D, personnel growth, and go-to-market. Qdrant focuses on "composable vector search" with agent-native retrieval for AI agents. It competes with Zilliz/Milvus, Pinecone, Weaviate, and Chroma, differentiating on Rust performance and open-source flexibility.

Founded
2021
Headquarters
Berlin, Germany
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Key Differentiators

Strong Challenger

Qdrant is an established challenger with significant market presence and competitive offerings in Data & Analytics.

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Estimated Visibility Trend (Beta)

Simulated 8-week rolling score

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↑ Trending

Based on estimated brand signals. Historical tracking coming soon.

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