
Qdrant
High-performance, open-source vector search engine built in Rust for production-grade AI and machine learning workloads.
About
Qdrant is an open-source vector search engine built in Rust, designed for production workloads. It enables efficient storage and retrieval of high-dimensional vectors, which are crucial for modern AI applications like recommendation systems, semantic search, and anomaly detection. The company offers both an open-source solution and managed cloud services, empowering developers and businesses to unlock the full potential of high-dimensional data.
Listed competitors
Qdrant is a specialized vector search engine, whereas DataStax offers a broader data platform built on Apache Cassandra, including vector search capabilities as part of its offerings.
Qdrant is an open-source, Rust-based vector database offering more explicit control over indexing, search, and retrieval, while Pinecone is a managed vector database service.
Qdrant is built in Rust for high performance and memory efficiency, while Weaviate is an open-source vector database written in Go, focusing on a GraphQL API and a modular architecture.
Also in this space
A unified data analytics and AI platform built on the lakehouse architecture.
Shares Machine Learning, AI Infrastructure
Together AI offers an AI-native cloud platform providing high-performance inference APIs, GPU clusters, and fine-tuning capabilities for open-source AI models.
Shares AI Infrastructure, Cloud Infrastructure
Managed vector database for building scalable, reliable, and accurate AI applications and search.
Shares AI Infrastructure, API Platform
AI Search Platform for real-time, large-scale applications combining big data, vector search, and ML inference.
Shares Vector Database, Machine Learning
AI infrastructure for building intelligent applications.
Shares Artificial Intelligence, Developer Tools
“Hey everyone — I’m sharing a small tool I built that’s been super useful for us internally. We’ve been using Turbopuffer since its…” r/vectordatabase
Hugging Face is the leading AI community and platform for machine learning collaboration, enabling developers to build, share, and deploy models, datasets, and applications.
Shares Machine Learning, Open Source
Key facts
- Website
- qdrant.tech
- Headquarters
- Berlin, Germany
- Founded
- 2021
- Employees
- 145
- Total funding
- $88M (Series B)
- Business model
- B2B
Funding rounds
| Date | Round | Amount | Lead investors |
|---|---|---|---|
| 12 Mar 2026 | Series B | $50M | AVP |
| 23 Jan 2024 | Series A | $28M | |
| 19 Apr 2023 | Seed | $8M | Unusual Ventures |
| 12 Jan 2022 | Pre-Seed | $2M | 42CAP, IBB Ventures |
Tech stack
Detected on qdrant.tech, last scanned 19 Oct 2026. Run your own scan
- Compliance
- SOC 2, HIPAA, GDPR
- Frontend
- Bootstrap
- Support
- HubSpot
- CDN
- Netlify
- Email provider
- Google Workspace
Qdrant scores 80. Does yours?
That is its Ahrefs DR: the backlink strength of a domain, on the Ahrefs 0 to 100 scale. Paste your website and you get yours in about a minute.
Frequently asked
Is Qdrant trustworthy and reputable?
StartupHub's Data Trust & Reputation score for Qdrant is 75 out of 100, a generally safe rating, based on site security posture, privacy practices, malware and phishing checks, and public reputation signals.
How much funding has Qdrant raised?
Qdrant has raised a total of $88M in funding. The most recent round on record is Series B.
How many employees does Qdrant have?
Qdrant has approximately 145 people on record.
Public record
SEC filings, insider activity, nonprofit links and pay benchmarks for Qdrant


