Zilliz Cloud is a fully managed vector database service built on top of the open-source Milvus engine, designed for large-scale AI applications, offering automatic performance optimization, horizontal scalability, and hybrid search capabilities across multimodal data. It excels in AI and machine learning workflows that require efficient handling of vector embeddings, scalability, and ease of use. In contrast, Aerospike is a distributed, scalable NoSQL database with vector search capabilities as an add-on, supporting Hierarchical Navigable Small World (HNSW) indexes for high-dimensional similarity searches, but requiring manual configuration and indexing parameter tuning. While both platforms have their strengths, Zilliz Cloud is better suited for applications that require ease of use, scalability, and hybrid search, whereas Aerospike is more suitable for organizations already using its NoSQL capabilities and needing vector search as an add-on. Ultimately, the choice between Zilliz Cloud and Aerospike depends on the specific needs of your AI application, requiring thorough evaluation based on factors such as data types, scalability, integration, and operational complexity.