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Qdrant

Qdrant

High-performance vector search at scale

Used by 5 Marketing Tech leaders including Bayer, Bosch, Hubspot

Quick Info

Overview

What is Qdrant?

Open-source vector database and similarity search engine built in Rust. Cloud-native with enterprise-grade scalability for billions of vectors.

Key Capabilities

Rust-powered performance

Core Qdrant capability

Cloud-native scaling

Core Qdrant capability

Cost-efficient compression

Core Qdrant capability

Multimodal search

Core Qdrant capability

Hybrid search

Core Qdrant capability

Customer Stories

Real-world use cases

See how leading companies are leveraging Qdrant to transform their workflows

Case Study
Bayer

Bayer

Biotech & Pharma

Leverages Qdrant for data analysis and business intelligence in their biotech & pharma operations.

Verified metrics
Case Study
Hubspot

Hubspot

Marketing Tech
<10ms retrievalRetrieval speed

Leverages Qdrant for data analysis and business intelligence in their marketing tech operations.

Verified metrics
Verified Feedback

What users say about Qdrant

Trusted by teams at Hubspot, and Bayer

Hubspot

Qdrant powers our demanding recommendation and RAG applications...a reliable solution for our AI infrastructure.

SM
Srubin Sethu Madhavan
Technical Lead II at Hubspot
Read case study
Bayer

I personally recommend Qdrant. We have been using it for a while and couldnt be happier.

HS
Hooman Sedghamiz
Director AI/ML at Bayer
Read case study

Qdrant adoption by industry

See which industries are leading the adoption of Qdrant

Compare Qdrant with alternatives

Frequently asked questions about Qdrant

Qdrant is used by 5 companies including Bayer, Bosch, Hubspot. These organizations leverage Qdrant for vector databases capabilities.

📊 Qdrant is tracked by UsedBy.ai with 5 verified company adoptions, primarily in Marketing Tech.

Not sure if Qdrant is right for you?

Compare with alternatives and find the best tool for your needs.

Looking for something else? See how Qdrant compares to Weaviate, Pinecone or Chroma.