# Qdrant

**Source:** https://geo.sig.ai/brands/qdrant  
**Vertical:** Data & Analytics  
**Subcategory:** Vector Databases & AI Search  
**Tier:** Challenger  
**Website:** qdrant.tech  
**Last Updated:** 2026-04-14

## Summary

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.

## Company Overview

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.

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.

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.

## Frequently Asked Questions

### What is Qdrant?
An open-source vector database built in Rust for high-performance AI retrieval, supporting hybrid vector search with metadata filtering and real-time updates.

### How much funding has Qdrant raised?
~$87.8M total, including a $50M Series B in March 2026 led by Advance Venture Partners.

### Who uses Qdrant?
Tripadvisor, HubSpot, OpenTable, Bazaarvoice, Bosch. 250M+ downloads and 29K+ GitHub stars.

### How does Qdrant compare to other vector databases?
Differentiates with Rust-based performance, open-source flexibility, and agent-native retrieval for autonomous AI systems.

### Where is Qdrant based?
Berlin, Germany, founded in 2021 by CEO Andre Zayarni.

### What is Qdrant and what type of database is it?
Qdrant is an open-source vector database and similarity search engine optimized for storing and querying high-dimensional vector embeddings generated by AI models, enabling semantic search, recommendations, and RAG (retrieval-augmented generation) applications.

### How does Qdrant handle large-scale vector search performance?
Qdrant uses HNSW (Hierarchical Navigable Small World) indexing with payload filtering capabilities, enabling high-throughput approximate nearest neighbor search across billions of vectors while supporting complex metadata filters in a single query.

### Is Qdrant available as a managed cloud service?
Yes. Qdrant Cloud is the fully managed SaaS version available on AWS, GCP, and Azure. The open-source Qdrant engine is also available for self-hosted deployments via Docker or Kubernetes.

## Tags

analytics, b2b, saas

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*Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*