Qdrant AI Vendor Risk Profile
Open-source vector database written in Rust, offering high-performance similarity search and filtering for AI applications. Available as self-hosted open-source, Qdrant Cloud managed service, and hybrid deployments. Popular RAG backend for LLM applications.
Risk overview
Risk score: 34/100
Risk tier: Moderate
Safety rating: 66/100 (higher is better)
Lower risk scores indicate lower assessed risk.
Last verified: Apr 19, 2026 Aging
Risk dimensions
| Dimension | Risk score |
|---|---|
| Data Handling | 28/100 |
| IP Exposure | 26/100 |
| Jurisdiction | 8/100 |
| Security | 40/100 |
| Regulatory Compliance | 60/100 |
| Transparency | 65/100 |
| Business Stability | 54/100 |
| Dependency Chain | 34/100 |
| Agent Governance | Not assessed |
Analyst summary
Rating: Acceptable
Qdrant is a German-incorporated open-source vector database with clean data handling, SOC 2 Type II, strong GDPR posture, and an Apache-licensed OSS fallback. Popular choice for EU-sensitive workloads and self-hosted RAG.
Bottom line: Recommended for EU or self-hosted vector workloads; strong jurisdictional posture.
Strengths
- Open-source Apache 2.0 core with fully self-hostable architecture
- SOC 2 Type II and GDPR DPA (Berlin HQ) for EU customers
- Customer-selected regions across AWS, GCP, Azure
- Strong performance on hybrid search and payload filtering
Concerns
- HIPAA BAA availability more limited than Pinecone
- Smaller managed-cloud scale than Pinecone; fewer large-enterprise references
- No FedRAMP authorization
- Managed cloud availability relies on backing public cloud providers
Best for
- EU customers needing GDPR-native vector database with strong residency
- Self-hosted RAG deployments with open-source governance requirements
- Workloads requiring tight payload filter + vector search performance
Avoid if
- You need HIPAA-eligible managed vector database with broad ecosystem (prefer Pinecone)
- You require FedRAMP authorization
- You want the largest ecosystem of managed-service integrations
Citations
- Data Handling — Data Residency Options
Qdrant Cloud offers deployment in AWS, GCP, and Azure across US, EU (Frankfurt, Ireland), and Asia regions with customer-selected residency.
- Data Handling — Trains On User Data
Qdrant does not train any models on customer data and does not access customer vectors stored in Qdrant Cloud clusters.
- Governance — Financial Stability
Qdrant's core vector search engine is open-source under Apache 2.0 license, providing customers self-hosted fallback independent of the managed cloud.
- Governance — Strategic Investors
Qdrant raised a $28 million Series A round led by Spark Capital in January 2024.
- Ip Profiles — User Owns Outputs
Customer retains all rights in and to Customer Data stored or processed through Qdrant Cloud.
- Jurisdiction Profiles — Incorporation Country
Qdrant Solutions GmbH is a German company headquartered in Berlin with a US subsidiary in Delaware.
- Security Compliance — Gdpr Compliant
Qdrant Solutions GmbH is headquartered in Germany and operates under GDPR, offering a DPA for business customers.
- Security Compliance — Soc2 Type2
Qdrant has achieved SOC 2 Type II attestation for the Qdrant Cloud managed service.