Qdrant
Open-source vector database written in Rust, sold as a managed cloud for retrieval over embeddings.
Products
Selected offerings — the AI products recorded here, not the vendor's full catalogue.
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Apache-2.0 vector database and similarity-search engine written in Rust, run on the user's own infrastructure.
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Managed Qdrant clusters on AWS, Google Cloud and Azure, with a free single-node tier and consumption billing above it.
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Qdrant's managed control plane over clusters a customer runs in their own Kubernetes, in any cloud, on-premises or at the edge.
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Fully on-premise Qdrant deployment for buyers who cannot let a vendor-run control plane touch their environment.
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Qdrant Edge Data service
In-process vector search engine for embedded devices, autonomous systems and mobile agents, in beta.
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Qdrant Serverless Data service
Announced serverless edition of Qdrant Cloud in which a collection is created and queried with no cluster to size or scale.
Inside Qdrant Cloud
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Embedding generation run inside Qdrant Cloud so text or images are vectorised and searched in a single API call.
Similar products 19
No sourced competitor yet: no filing, vendor document or measured-market report read so far names a rival for this company, so none is asserted. The companies below are the closest by what their products do.
Closest alternatives are pairs a vendor page itself compares. Similar products are matched from what each product does; nothing in that group is asserted as a rivalry.
Sources
- Description
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Company disclosure · 12 Mar 2026
Own blog: "$50 million in Series B funding, led by AVP". Both funding_total and valuation are bare — the post states neither a cumulative total nor a valuation, and the aggregators that carry a total are a refused source here. Delivery test (§1.1): a vector database is load-bearing AI infrastructure — it is what a customer’s own retrieval and RAG systems run on.
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