Marqo vs Milvus
Marqo
marqo.aiMilvus
milvus.ioSide by side
| Figure | Marqo | Milvus |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 0 | 1 |
| Spec score · Ai Databases | 7.4 (#26) | 8.3 (#8) |
| Spec score · AI Search and Discovery Platforms Software | 7.2 (#22) | 8.1 (#9) |
| Spec score · Vector Databases | 7.3 (#22) | 8.2 (#7) |
| Spec score · Search Databases | 7.2 (#27) | 8.2 (#11) |
| Integrations | The site names one-click integrations with Shopify, Adobe Commerce, and Salesforce Commerce Cloud, and says Marqo can also be deployed via API. | The integrations documentation lists tools including LangChain, LlamaIndex, Haystack, DSPy, Dify, Langflow, OpenAI, Cohere, and HuggingFace. |
| Intended users | Marqo describes its product as helping enterprise brands build high-performance product discovery experiences. | The documentation describes Distributed as suited to enterprise users running large-scale vector search systems in production. |
| Product | Marqo provides AI-powered ecommerce product discovery, search, merchandising, recommendations, category pages, and conversational commerce. | Milvus is an open-source vector database built for GenAI applications. |
| Search | Its search supports instant indexing, semantic relevance, typo tolerance, and multilingual comprehension. | Milvus supports approximate nearest neighbor, filtering, range, hybrid, and full-text search, plus reranking, fetch, and query operations. |
| Security | The Marqo homepage displays a SOC 2 Type 2 badge. | Milvus documents user authentication, TLS encryption for gRPC and REST traffic, and role-based access control. |
| Support | Technical support requests are handled through Marqo’s support portal, and customers may designate up to four representatives. | The Milvus site lists community channels including Slack, Discord, GitHub, and Milvus Office Hours. |
Plans
In their own words
Milvus
Milvus is an open-source vector database from Zilliz for GenAI and scalable vector search. It supports approximate-nearest-neighbor, filtered, range, hybrid, and full-text search, along with reranking, fetch, and query operations. Metadata filtering, sparse vectors, and index types including HNSW, IVF, FLAT, DiskANN, and SCANN are documented. Deployment choices are Milvus Lite as a Python library, Standalone as a single-machine server, and Distributed on Kubernetes. Documentation recommends Lite for up to a few million vectors, Standalone up to 100 million, and Distributed for 100 million to tens of billions. Lite can run locally without a cloud service for private or sensitive data; an online upgrade from Standalone to a cluster is not currently supported. Official interfaces include REST plus Python, Go, Java, Node.js, and C++ APIs or SDKs. C# is contributed by Microsoft and Rust is under development. Security documentation covers authentication, TLS for gRPC and REST, and role-based access control at collection, database, and instance levels. The Apache 2.0 software is free, and Zilliz Cloud is offered as a managed option.