SingleStore and ClickHouse are two powerful vector database systems designed to store, query, and analyze high-dimensional vectors in AI applications. SingleStore integrates vector capabilities directly into its SQL database system, allowing users to combine traditional database operations with vector search in one system. It offers both exact k-nearest neighbors (kNN) and Approximate Nearest Neighbor (ANN) search options, as well as multiple index types and a unified approach that simplifies data transfer complexity. ClickHouse, on the other hand, excels at handling analytical queries and large datasets, particularly when combining vector operations with metadata filtering and aggregation. It achieves high performance through its fully parallelized query pipeline and supports custom compression codecs for efficient data storage and retrieval. The choice between SingleStore and ClickHouse depends on specific requirements around data scale, query complexity, and integration needs, which can be evaluated using open-source benchmarking tools like VectorDBBench. By evaluating these factors, developers can make informed decisions about which vector database system best fits their use cases.