Milvus vs. Zilliz
A side-by-side comparison based on G2 review data.
| Metric | Milvus | Zilliz |
|---|---|---|
| Overall rating | 4.7 | 4.7 |
| Review count | 12 | 52 |
| Ease of use | 8.7 | 9.4 |
| Ease of setup | 7.9 | 9.2 |
| Quality of support | 8.9 | 9.6 |
| Meets requirements | 9.2 | 9.4 |
| NPS | 81.818182 | 90.384615 |
| Small Business | 41.7% | 49.0% |
| Mid-Market | 33.3% | 38.8% |
| Enterprise | 25.0% | 12.2% |
| Total page views | 182 | 613 |
| Total LLM citations | 5,142 | 3,712 |
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.
Zilliz
Zilliz Cloud is a cloud-native vector database platform that stores, indexes, and searches billions of embedding vectors to power enterprise-grade similarity search, recommender systems, retrieval augmented generation, anomaly detection, and more. Zilliz Cloud, built on the popular open-source vector database Milvus, allows for easy integration with vectorizers from OpenAI, Cohere, HuggingFace, and other popular models. Purpose-built to solve the challenge of managing billions of embeddings, Zilliz Cloud makes it easy to build applications for scale.
- Ease of Use
- Speed
- Features
- Performance
- Documentation
- Scalability