Milvus vs. Weaviate
| Product | Rating | Most Used By | Product Summary | Starting Price |
|---|---|---|---|---|
 Milvus | N/A | N/A | Milvus is an open source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus 2.0 is a cloud-native vector database with storage and computation separated by design. All components in this refactored version of Milvus are stateless to enhance elasticity and flexibility. | $0 |
 Weaviate | Score8 out of 10 | N/A | Weaviate is an open-source vector database used to store data objects and vector embeddings from ML-models, and scale into billions of data objects, from the company of the same name in Amsterdam. Users can can index billions of data objects to search through, and combine multiple search techniques, such as keyword-based and vector search, to provide search experiences. | $0 |
| Milvus | Weaviate | |||||||||||||||
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| Editions & Modules | No answers on this topic |
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| Entry-level Setup Fee | No setup fee | No setup fee | ||||||||||||||
| Additional Details | — | Weaviate Cloud pricing is consumption-based. Add-on services are priced separately: Query Agent (free tier of 1,000 requests/month; $30/organization includes 4,000 requests, then usage-based) and Weaviate Embeddings (usage-based per token). Engram, Weaviate's agent-memory service, is a separate product with its own free and paid tiers. | ||||||||||||||
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