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Milvus

Milvus: A deep, flexible open-source choice for demanding vector and hybrid search workloads. Ranked #6 of 27 in Vector Databases by our editors (8.8/10); pricing: Free plan; best for open-source teams needing maximum vector depth.

8.8/10Editor score
Milvus8.8 Visit Milvus

At a glance

  • Editor score
    8.8 / 10
  • Pricing
    Free plan
  • Best for
    Open-source teams needing maximum vector depth
  • Free plan
    Yes
  • Paid from
    Free
  • Deployment
    Both
  • Facts checked
    22 Sep 2026
Milvus screenshot
  • Where it wins

    • Supports dense, sparse, binary, hybrid, filtered, and reranked search
    • Runs locally, with Docker, or across distributed Kubernetes deployments
    • Offers broad index coverage and SDKs for Python, Go, Java, Node.js, and C++
  • Where it doesn't

    • Self-hosted deployment places infrastructure and operations work on your team
    • Its broad index catalog can make architecture decisions more involved
    • Managed cloud is provided separately through Zilliz Cloud

Our verdict on Milvus

Milvus is an open-source vector database for GenAI applications and similarity search. It suits teams building retrieval-augmented generation, image search, multimodal search, and large-scale production systems that need more than a single vector representation. The database stores dense, sparse, and binary vectors alongside structured metadata, giving developers a broad foundation for search applications. It supports Linux, macOS, Windows, self-hosted environments, and API-based workflows, with SDKs for Python, Go, Java, Node.js, and C++.

Search depth is the main reason to consider Milvus. Approximate nearest-neighbor search is complemented by multi-vector hybrid search across multiple vector fields, keyword-oriented sparse search using BM25 or sparse embeddings, scalar-expression metadata filtering, and reranking through Reciprocal Rank Fusion and weighted scoring. Teams can choose among multiple vector and scalar index types, including HNSW, IVF variants, DiskANN, SCANN, FAISS, GPU options, and sparse indexes. This breadth makes Milvus a strong fit when retrieval quality, filtering, and index selection matter together rather than as isolated requirements.

Deployment options range from Milvus Lite for embedded local use to standalone Docker deployment and distributed Kubernetes deployment. That range supports experimentation and production architectures, but self-hosted teams remain responsible for operating the chosen environment. Milvus itself is free and open source; a separate fully managed cloud service is available through Zilliz Cloud. Choose Milvus if you want open deployment, extensive vector types, and detailed control over search architecture. Teams seeking a narrowly focused hosted service with less infrastructure responsibility may prefer a separate managed option.

Your product? Our editors can test Milvus in depth and publish a review, labelled as paid · from $149/mo →

Milvus pricing

Plans Free planFree Free to use — no paid tier required for the core job.
See plans on milvus.io

Milvus fact sheet

Free planYes
Paid fromFree
DeploymentBoth
Hybrid searchYes
Metadata filteringYes
Sparse vectorsYes
Maximum dimensionsNot verified
Index typesHNSW, IVF, FLAT, DiskANN, SCANN
SDK languagesPython, Go, Java, Node.js, C++
DeploymentCloud, Self-hosted
SupportCommunity, Docs
Built forSolo, Small business, Mid-market, Enterprise (editorial estimate)
Integrations8 integrations: LangChain, LlamaIndex, OpenAI, Cohere, Hugging Face, PyTorch …
PricingFree plan
Websitemilvus.io
Facts checked22 Sep 2026

Milvus integrations

Milvus lists 8 integrations on its own site.

  • LangChain
  • LlamaIndex
  • OpenAI
  • Cohere
  • Hugging Face
  • PyTorch
  • Haystack
  • Spark

Alternatives to Milvus

See all Milvus alternatives →

Milvus vs the competition

Compare Milvus with any tool side by side →

Also Ranked In

Milvus is ranked in 5 of our directories.

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Featured on iTechGuides

Featured on iTechGuides — Milvus 8.8/10

Milvus is listed in our Vector Databases directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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