Qdrant
Headquarters
Berlin, GermanyFounded
2021CEO / Founder
Andrey VasnetsovEmployees
11-50Funding
Series B — $87.8MProducts
1 product listedAvg. AI Score
8.0/10Website
qdrant.tech
Profile updated
About Qdrant
Qdrant is an open-source vector database and vector similarity search engine developed in Rust, founded in 2021 and headquartered in Berlin, Germany. The company was founded by Andrey Vasnetsov and builds infrastructure for storing and querying high-dimensional vector embeddings, which are commonly used in machine learning and AI applications such as semantic search, recommendation systems, and retrieval-augmented generation (RAG).
Qdrant's primary product is its eponymous vector database, available as an open-source self-hosted solution and as a managed cloud service called Qdrant Cloud. The engine supports filtering, payload storage alongside vectors, and multiple distance metrics. It is used in AI-powered search, anomaly detection, and similarity matching use cases across industries. The project has accumulated significant adoption on GitHub, with tens of thousands of stars, and is used by developers building applications on top of large language models.
Qdrant raised a $28 million Series A round in 2024, bringing its total disclosed funding to approximately $28 million. The company operates with a team in the range of 11–50 employees and distributes its core engine under the Apache 2.0 open-source license, while monetizing through its managed cloud offering.
Specialties
Financials
Dated, source-cited figures. Estimates are marked.
Products by Qdrant
All products by Qdrant reviewed by our AI panel of experts.
How Our Review Panel Scores Qdrant
Six independent reviewer personalities assessed Qdrant's product on their own terms. They landed within 0.9 points of each other, an unusually strong consensus.
Averaged across 1 reviewed product in our catalog. Scores are out of 10.
Competitive Landscape
Who Qdrant competes with, and how they differ.
Weaviate ships a broader AI-native platform on top of vector search (hybrid search, generative modules, an agent memory layer), where Qdrant stays focused on core vector search performance in Rust with a smaller resource footprint.
1 product reviewed on TopReviewed
Pinecone is a fully managed, closed-source vector database with no self-hosted option, competing purely on managed-infrastructure simplicity, versus Qdrant's open-source-first model that ships both self-hosted binaries and a managed Qdrant Cloud tier.
1 product reviewed on TopReviewed
Chroma is a lightweight, developer-first open-source embedding database built for fast prototyping and small-to-mid-scale RAG apps, without Qdrant's production clustering, sharding, and quantization tooling for billion-vector scale.
1 product reviewed on TopReviewed
Elastic added vector (kNN/HNSW) search onto its mature Elasticsearch engine, competing on breadth — logs, text search, and vectors in one platform — where Qdrant is a vector-native database built specifically for embedding search and RAG.
1 product reviewed on TopReviewedMilvus, built by Zilliz, is an open-source vector database engineered for billion-scale similarity search on a distributed, Kubernetes-native architecture; Zilliz Cloud is its managed counterpart, competing with Qdrant primarily on raw horizontal scale.
Company Timeline
Key milestones in Qdrant's history, with sources.
- Partnership
Bayer enterprise-scale search case study published
Qdrant published a case study detailing how pharmaceutical company Bayer built an enterprise-scale search engine on Qdrant.
qdrant.tech - Launch
Qdrant Edge — on-device vector search
Qdrant launched Qdrant Edge, an on-device vector search offering aimed at memory-constrained and edge deployments.
qdrant.tech - Funding
Series B — $50M led by AVP
Qdrant Solutions GmbH raised a $50M Series B led by AVP, with Bosch Ventures, Unusual Ventures, Spark Capital, and 42CAP participating, bringing disclosed total funding to $87.8M.
siliconangle.com - Funding
Series A — $28M led by Spark Capital
Qdrant raised a $28M Series A led by Spark Capital, with Unusual Ventures and 42cap participating, bringing disclosed funding to $35.5M.
techcrunch.com - Funding
Seed — $7.5M led by Unusual Ventures
Qdrant raised a $7.5M seed round led by Unusual Ventures, with participation from 42cap, IBB Ventures, and angel investors including Cloudera co-founder Amr Awadallah.
techcrunch.com - Funding
Pre-seed — EUR 2M (about $2.2M)
Qdrant raised a EUR 2 million (about $2.2M) pre-seed round, reported by TechCrunch as having closed the year before its April 2023 seed round.
techcrunch.com - Founded
Qdrant founded in Berlin
Qdrant was founded in Berlin, Germany by Andre Zayarni, Andrey Vasnetsov, and Fabrizio Schmidt as an open-source vector search engine and database written in Rust.
techcrunch.com
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