Qdrant vs Zilliz's Milvus
Qdrant and Milvus are both open source software designed to facilitate vector similarity search, but they have different design philosophies and focus on different types of applications. Qdrant is a lightweight and scalable similarity search engine that supports both approximate and exact search, as well as various indexing and data management strategies. Qdrant is designed to be a general-purpose engine that can be used in a wide range of applications, such as e-commerce, recommendation systems, and information retrieval. Milvus, on the other hand, is a distributed vector database that aims to provide efficient and scalable vector search and analysis for large-scale datasets. It supports a variety of indexing methods, including approximate indexing and hybrid indexing, and provides a wide range of tools for data processing and analysis. Milvus is designed for applications that require large-scale vector search, such as image and video retrieval, recommendation systems, and natural language processing. In summary, Qdrant is a more lightweight and general-purpose similarity search engine, while Milvus is a more comprehensive and powerful vector database that provides advanced data management and analysis capabilities.