TiDB and Aerospike are two distinct vector databases designed to store and query high-dimensional vectors, which encode complex information in AI applications such as e-commerce product recommendations, content discovery platforms, anomaly detection, medical image analysis, natural language processing tasks, and Retrieval Augmented Generation. TiDB is a traditional database with hybrid transactional and analytical processing capabilities, offering MySQL compatibility and auto-sharding for horizontal scalability. Aerospike, on the other hand, is a NoSQL database with a specialized approach to vector search using Hierarchical Navigable Small World (HNSW) indexes and asynchronous indexing queues for better performance. TiDB integrates vector search through plugins, SQL, and vector queries, while Aerospike uses its Aerospike Vector Search (AVS) system with concurrent index building and vector processing optimization. The choice between these two databases depends on the specific use case, with TiDB being suitable for enterprise applications requiring both traditional database operations and vector search, and Aerospike being ideal for high-performance vector search applications. An open-source benchmarking tool called VectorDBBench can help users evaluate and compare different vector database systems to make informed decisions based on actual performance results.