Milvus
milvus.io
What it is
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.
Spec sheet
- What it does
- Milvus is an open-source vector database developed by Zilliz for high-performance, scalable vector search.Read 4 Oct 2026 · milvus.io
- Product
- Milvus is an open-source vector database built for GenAI applications.Read 4 Oct 2026 · milvus.io
- Intended users
- The documentation describes Distributed as suited to enterprise users running large-scale vector search systems in production.Read 4 Oct 2026 · milvus.io
- Deployment
- Milvus offers Lite as a Python library, Standalone as a single-machine server, and Distributed for Kubernetes clusters.Read 4 Oct 2026 · milvus.io
- Free plan
- YesRead 22 Sep 2026 · milvus.io
- Integrations
- The integrations documentation lists tools including LangChain, LlamaIndex, Haystack, DSPy, Dify, Langflow, OpenAI, Cohere, and HuggingFace.Read 4 Oct 2026 · milvus.io
- Security
- Milvus documents user authentication, TLS encryption for gRPC and REST traffic, and role-based access control.Read 4 Oct 2026 · milvus.io
- Support
- The Milvus site lists community channels including Slack, Discord, GitHub, and Milvus Office Hours.Read 4 Oct 2026 · milvus.io
- Maker
- The documentation says Milvus was developed by Zilliz and is associated with the LF AI & Data Foundation under the Linux Foundation.Read 4 Oct 2026 · milvus.io
- Access control
- RBAC can control operations at collection, database, and instance levels.Read 4 Oct 2026 · milvus.io
- Dependencies
- A default Milvus 3.x deployment uses Woodpecker for messaging, etcd for metadata, and MinIO for object storage.Read 4 Oct 2026 · milvus.io
- Deployment caveat
- The documentation says an online upgrade from a standalone Milvus instance to a cluster is not currently supported.Read 4 Oct 2026 · milvus.io
- Deployment limits
- The docs recommend Lite for up to a few million vectors, Standalone up to 100 million, and Distributed for 100 million to tens of billions.Read 4 Oct 2026 · milvus.io
- Deployment options
- Milvus offers Lite as a Python library, Standalone as a single-machine server, and Distributed for Kubernetes clusters.Read 4 Oct 2026 · milvus.io
- Local use
- Milvus Lite can run on a device without a cloud service for local search of private or sensitive data.Read 4 Oct 2026 · milvus.io
- Managed option
- Milvus links to Zilliz Cloud as its fully managed offering and describes a free option on its documentation site.Read 4 Oct 2026 · milvus.io
- Scale
- Milvus supports deployments from local notebook demos to Kubernetes clusters handling tens of billions of vectors.Read 4 Oct 2026 · milvus.io
- Scale limits by deployment
- The documentation recommends Milvus Lite for up to a few million vectors, Standalone for up to 100 million, and Distributed for 100 million to tens of billions.Read 4 Oct 2026 · milvus.io
- 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.Read 4 Oct 2026 · milvus.io
- Search
- Milvus supports approximate nearest neighbor, filtering, range, hybrid, and full-text search, plus reranking, fetch, and query operations.Read 4 Oct 2026 · milvus.io
- Search features
- Milvus supports approximate nearest neighbor, filtered, range, hybrid, and full-text search, as well as reranking and queries.Read 4 Oct 2026 · milvus.io
Plans and prices
Strong points and limits
Strong points
- Supports hybrid and full-text search
- Offers local, standalone, and Kubernetes deployments
- Scales to tens of billions of vectors
- Provides official SDKs across six languages
- Includes TLS, authentication, and RBAC
Limits
- Standalone-to-cluster online upgrade is unsupported
- Distributed deployment requires Kubernetes
- Rust support is still under development
- Default 3.x deployment has several dependencies
Who it suits
Milvus suits developers building vector search for GenAI applications, from local experiments to Kubernetes systems. Distributed is described for enterprise production workloads with very large vector collections.
Verdict
Milvus provides a free, open-source path from local vector search to very large distributed deployments. Deployment limits and the unsupported online upgrade path are important when planning growth.
Where Specifiction places it
- Ai Databases#8 of 408.3
- Vector Databases#7 of 278.2
- AI Search and Discovery Platforms Software#9 of 288.1
- Search Databases#11 of 308.2
- Database Software#39 of 748.2