Milvus
Developed with Go and C++ languages, Milvus is a scalable vector database designed for storing and searching unstructured data. The system, which offers CPU and GPU hardware acceleration support, can be scaled horizontally on Kubernetes and supports real-time data updates. In addition to its distributed architecture, it offers an independent mode for single machine installations and a lightweight version option that provides a quick start with Python.
Milvus
100milvus-io · Databases & Vector Infrastructure
Common commercial products in this category: Oracle Database, Microsoft SQL Server, Amazon Aurora
- You can organize and search for large-scale unstructured data clusters of text, images, and multi-mode data.
- With hardware acceleration support, you can perform high-performance similarity searches on billions of vectors.
- Using Kubernetes-based distributed architecture, you can build a horizontally scalable data infrastructure for AI applications.
- • High number of open issues (1,543)
- • NeutralHacker News
Milvus – An Open-Source Vector Similarity Search Engine
“It's not about the ML platform. It's about the ML scenarios. If you want to search thru a huge amount of unstructured data after vectorization tech (like deep learning), Milvus will help you a lot. Our users use Milvus in below scenarios: 1. Chemical molecules analysis,…”
- • NeutralHacker News
Milvus – An Open-Source Vector Similarity Search Engine
“Milvus allows users to append vectors. Vectors are stored in multiple file slices. When a file slice reaches the threshold, Milvus will build the index for that file slice, and new data will be inserted into a new file slice. For details, please refer We are now working on the…”
Verified against README · Oct 26, 2026 · source