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Qdrant Cloud

Scalable vector search database for enterprise AI applications with robust compliance.

Venture Funded$14MSeries AAlmaz CapitalRuna Capital
vector searchAI infrastructurescalable databaseenterprise-grade
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About

Qdrant Cloud offers a fully managed vector database service designed for enterprises to power AI-driven search and recommendation systems at scale. The platform supports seamless scaling and integration for mission-critical AI workloads.

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 data

Not scored. Nobody has checked this entry against Qdrant Cloud’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.

Security & ComplianceNot disclosed

No compliance certifications listed

Deployment FlexibilityPartial

Cloud-based: Cloud

Integration DepthStrong

8 documented integrations

Proven AdoptionPartial

5 documented use cases

Company MaturityStrong

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.

Enterprise Use Cases

Semantic search for enterprise knowledge bases
Personalized recommendation engines
Image and video similarity search
Fraud detection via anomaly detection in vector space
Natural language understanding and chatbot enhancements

Integrations

AWSGCPAzureKubernetesDockerPython SDKREST APIOpenTelemetry

How Qdrant Cloud compares

ToolReadinessPricingDeploymentComplianceIntegrations
Qdrant CloudNot scoredFreemiumCloud8
MilvusNot scoredOpen SourceCloud, On-Premise, Hybrid, Self-Hosted8
ZillizNot scoredEnterpriseCloud, On-Premise, Hybrid, Self-Hosted7
Elasticsearch Vector67 · StrongEnterpriseCloud, On-Premise, Hybrid8

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 Cloud used for?

Qdrant Cloud is scalable vector search database for enterprise AI applications with robust compliance. It is commonly used for semantic search for enterprise knowledge bases, personalized recommendation engines, image and video similarity search, and fraud detection via anomaly detection in vector space.

Is Qdrant Cloud free, and how is it priced?

Qdrant Cloud offers a free tier, with paid plans that add capacity and features.

How can Qdrant Cloud be deployed?

Qdrant Cloud supports Cloud deployment. It is delivered as a cloud-hosted service.

What does Qdrant Cloud integrate with?

Qdrant Cloud documents 8 integrations, including AWS, GCP, Azure, Kubernetes, Docker, and Python SDK.

When was Qdrant Cloud founded?

Qdrant Cloud was founded in 2020 and has raised $14M in funding.

Is Qdrant Cloud enterprise-ready?

Based on cataloged data, Qdrant Cloud has an Enterprise Readiness score of 55/100 (Established tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.

Quick Facts

PricingFreemium
DeploymentCloud
Founded2020
Funding$14M
CategoryData & MLOps

Procurement

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