MongoDB vs ClickHouse: Selecting the Right Database for GenAI Applications

MongoDB Atlas Vector Search and ClickHouse are two prominent databases with vector search capabilities, essential for applications such as recommendation engines, image retrieval, and semantic search. Both provide robust capabilities for handling vector search but have different approaches to it. MongoDB is great for handling flexible, document-based data structures and integrates well with AI services and tools. ClickHouse is best when you have massive datasets that require complex queries combining vector search with SQL filtering and aggregation. The choice between these should be driven by your use case, data types, and performance requirements.