Milvus

Open source

An open-source vector database designed for billion-scale embedding search and analytics.

Pricing: free
Free tier: true
License: open-source
Open source: Yes

Editorial review

Milvus has not yet been editorially reviewed. User reviews and published field data below are unaffected — we say so rather than implying an editorial verdict.

Facts & attributes

Every value carries its evidence state. “—” means unknown — never a silent default (P-02).

Identity · Taxonomy

Documentation(HTTPS URL): https://milvus.io/docsVerification pending
Tags(open-source;cloud-native): vector-database, similarity-search, genai, embeddings, open-sourceVerification pending

Platform · Deployment

Delivery model(SaaS;self-hosted;desktop;mobile;embedded;managed-cloud;appliance): self-hosted, SaaSVerification pending

Pricing · Licensing

Free plan(true/false): trueVerification pending
License model(proprietary;open-source;source-available;dual-license): open-sourceVerified
Pricing model(free;subscription;usage;seat;asset;transaction;revenue-share;perpetual;custom): freeVerification pending
Source repository(HTTPS URL): https://github.com/milvus-io/milvusVerification pending
SPDX license IDs(Apache-2.0;MIT): Apache-2.0Verified

Features · Product · Fit

Core capabilities(authoring;automation;analytics): Fast and scalable similarity search over billions of vectors, Advanced indexing algorithms, Enhanced vector search with attribute filtering, Configurable consistency level and time travel, Separation of compute and storage with scale up and out, SDKs for a variety of programming languagesVerification pending

Api · Integrations · Ecosystem

API available(true/false): trueVerification pending

Audience · Use · Case

Best for(Neutral editorial summary): Teams building GenAI and similarity-search applications that need to store, index, and search billions of vectors at scale.Verification pending
Company-size fit(individual;SMB;mid-market;enterprise): SMB, mid-market, enterpriseVerification pending
Primary use cases(build;monitor;automate): GenAI applications such as RAG and semantic search, Store, index, and manage massive embedding vectors from ML models, Large-scale similarity search servicesVerification pending
Skill level(beginner;intermediate;advanced;specialist): specialistVerification pending

Lifecycle · Versioning

Current version(1.12.3): 3.0.5Verified
Maintenance status(active;maintenance;deprecated;EOL;archived): activeVerification pending

Vendor · Maintainer

Vendor type(commercial;foundation;community;government;consortium;individual): communityVerification pending

User reviews

Review policy

No published reviews yet.