Milvus vs. Qdrant
A side-by-side comparison based on G2 review data.
| Metric | Milvus | Qdrant |
|---|---|---|
| Overall rating | 4.7 | 4.5 |
| Review count | 12 | 12 |
| Ease of use | 8.7 | 9.2 |
| Ease of setup | 7.9 | 9.4 |
| Quality of support | 8.9 | 8.7 |
| Meets requirements | 9.2 | 8.7 |
| NPS | 81.818182 | 75 |
| Small Business | 41.7% | 58.3% |
| Mid-Market | 33.3% | 33.3% |
| Enterprise | 25.0% | 8.3% |
| Total page views | 182 | 186 |
| Total LLM citations | 5,142 | 1,743 |
Milvus
Milvus is a highly flexible, reliable, and blazing-fast cloud-native, open-source vector database. It powers embedding similarity search and AI applications and strives to make vector databases accessible to every organization. Milvus can store, index, and manage a billion+ embedding vectors generated by deep neural networks and other machine learning (ML) models. This level of scale is vital to handling the volumes of unstructured data generated to help organizations to analyze and act on it to provide better service, reduce fraud, avoid downtime, and make decisions faster.
Qdrant
Qdrant is a high-performance, composable vector search engine built in Rust for production-grade semantic, hybrid, and agentic workloads.