---
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title: Qdrant Cloud Vector Search
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indexed_at: "2026-06-12T19:03:40.170Z"
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---
# Qdrant Cloud Vector Search

High-performance vector database with payload filtering, quantization, and distributed HNSW indexing for neural search.

## Record

- **Schema type**: Corporation
- **Website**: https://qdrant.tech
- **Email**: support@qdrant.tech
- **Address**: 21 Unter den Linden, Berlin, Berlin, 10117, Germany
- **Coordinates**: 52.517, 13.3889
- **Deployment Link**: [Deploy Qdrant Cloud Vector Search Stack Layer](https://cloud.qdrant.io/signup)

### Summary

High-performance vector database with payload filtering, quantization, and distributed HNSW indexing for neural search.

### Description

Qdrant Cloud runs managed vector clusters with rich JSON payloads, geo filters, and hybrid sparse-dense retrieval. Teams deploy similarity search for recommendations, fraud detection, and RAG without self-managing shards.

### Expert insight

Use payload indexes on filter fields you query alongside vectors to avoid full-scan payload evaluation at scale.

### Attributes

- **Free Tier Allowance**: 1 GB
- **Rate Limit Cap**: 200 RPS
- **Session Lifetime**: 24 Hours
- **Overage Fee per 1k MAU**: 10 USD/GB
- **MFA Support**: Enforced via Qdrant Cloud console two-factor authentication
- **Enterprise SSO SAML**: Available on Enterprise with SAML, OIDC, and dedicated clusters
- **Custom Domain Support**: Private cloud and hybrid deployments on Enterprise tiers
- **Supported SDKs**: Python, JavaScript, Rust, Go, Java, REST, gRPC, LangChain
- **Social Providers**: GitHub and Google OAuth for Qdrant Cloud account login
- **Compliance Standards**: SOC 2 Type II, GDPR; HIPAA on Enterprise agreements
- **Webhook Fallback Policy**: Snapshot exports and WAL replay for disaster recovery on managed clusters