About
Qdrant is a high-performance vector database designed for enterprise AI workloads, enabling efficient similarity search at scale. Qdrant's architecture allows seamless scaling and flexible deployment across cloud and on-premise environments.
This description came from a bulk import and has not yet been checked against the vendor's own page. Treat it as unverified.
Enterprise Readiness
from cataloged dataNot scored. Nobody has checked this entry against Qdrant’s own site yet, so the signals below are unverified and we will not turn them into a rating. The breakdown shows what our record holds.
No compliance certifications listed
Flexible deployment: Cloud, On-Premise, Self-Hosted
8 documented integrations
6 documented use cases
Founded 2020 · Series A
Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.
Independently sourced
Pulled directly from regulator filings and platform APIs. No vendor or editorial input.
Enterprise Use Cases
Integrations
How Qdrant compares
| Tool | Readiness | Pricing | Deployment | Compliance | Integrations |
|---|---|---|---|---|---|
| Qdrant | Not scored | Freemium | Cloud, On-Premise, Self-Hosted | — | 8 |
| Milvus | Not scored | Open Source | Cloud, On-Premise, Hybrid, Self-Hosted | — | 8 |
| Zilliz | Not scored | Enterprise | Cloud, On-Premise, Hybrid, Self-Hosted | — | 7 |
| Elasticsearch Vector | 67 · Strong | Enterprise | Cloud, On-Premise, Hybrid | — | 8 |
Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.
Frequently Asked Questions
What is Qdrant used for?
Qdrant is enterprise-grade vector search engine for scalable, secure AI-powered applications. It is commonly used for semantic search for enterprise knowledge bases, recommendation engines for e-commerce, fraud detection via anomaly similarity, and customer support automation with vector search.
Is Qdrant free, and how is it priced?
Qdrant offers a free tier, with paid plans that add capacity and features.
How can Qdrant be deployed?
Qdrant supports Cloud, On-Premise, and Self-Hosted deployment. On-premise and self-hosted options support data-residency and air-gapped requirements.
What does Qdrant integrate with?
Qdrant documents 8 integrations, including AWS, Azure, Google Cloud, Kubernetes, Docker, and Python SDK.
When was Qdrant founded?
Qdrant was founded in 2020 and has raised $14M in funding.
Is Qdrant enterprise-ready?
Based on cataloged data, Qdrant has an Enterprise Readiness score of 64/100 (Established tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.
Quick Facts
Procurement
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