Couchbase vs Singlestore: Choosing the Right Vector Database for Your AI Apps

Couchbase and Singlestore are both distributed databases that offer vector search capabilities as an add-on. Couchbase is a NoSQL document-oriented database, while SingleStore is a SQL database with vector processing features. Key differences between the two include their search methodology, data handling, scalability and performance, flexibility and customization, integration and ecosystem, ease of use, cost considerations, and security features. The choice between Couchbase and Singlestore depends on factors such as data types, use cases, team expertise, existing tech stack, scalability requirements, and the importance of vector search in the overall application architecture. VectorDBBench is an open-source benchmarking tool that can assist users in evaluating and comparing vector databases based on their specific datasets and query patterns.