Couchbase vs Zilliz Cloud Choosing the Right Vector Database for Your AI Apps

Couchbase and Zilliz Cloud are two vector databases that cater to different needs in AI applications. Couchbase, a distributed NoSQL database, can be used for general-purpose applications and has workarounds for vector search, making it suitable for complex multi-functional systems where vector search is not the main focus. In contrast, Zilliz Cloud is a purpose-built vector database designed specifically for large-scale vector search in AI/ML workloads, offering features like AutoIndex for automatic performance optimization, hybrid search across multiple data types, and managed services. The choice between Couchbase and Zilliz Cloud depends on the specific use case, data management requirements, and importance of vector search in the application. Evaluating these options with a tool like VectorDBBench can help make an informed decision based on actual performance results.