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SPECIFICTION
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ManyVector vs Milvus

ManyVector

manyvector.com

Milvus

milvus.io

Side by side

FigureManyVectorMilvus
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
Linux—Yes
APIYesYes
Self-hostedYesYes
Plans published31
Spec score · Vector Databases7.7 (#17)8.2 (#7)
MakerManyVector is a product of ManyLayers.The documentation says Milvus was developed by Zilliz and is associated with the LF AI & Data Foundation under the Linux Foundation.
ProductManyVector is a vector database on object storage with vector and full-text search.Milvus is an open-source vector database built for GenAI applications.
SDKsThe Free Tier includes Python and TypeScript SDKs.Milvus provides official REST, Python, Go, Java, Node.js, and C++ APIs or SDKs; C# is contributed by Microsoft and Rust is under development.
SecurityThe security page states managed SaaS data at rest is encrypted with AES-256 and client traffic uses TLS 1.2 or higher.Milvus documents user authentication, TLS encryption for gRPC and REST traffic, and role-based access control.
SupportFree Tier includes community support, Growth includes priority email support, and Enterprise includes dedicated support.The Milvus site lists community channels including Slack, Discord, GitHub, and Milvus Office Hours.

Plans

ManyVector

  • Free TierFree
  • GrowthFree
  • EnterprisePriced on request

ManyVector pricing →

Milvus

  • Milvus (open-source software)Free

Milvus pricing →

In their own words

ManyVector

ManyVector has no write-up on Specifiction yet; its figures are above.

Visit manyvector.com

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.

Visit milvus.io