Vector databases excel at storing and querying high-dimensional vector embeddings, enabling AI applications to find semantic and perceptual similarities through specialized index structures optimized for nearest-neighbor search. Object-relational databases bridge the gap between relational and object-oriented worlds, extending traditional relational systems with object-oriented features like custom data types, inheritance, and methods while maintaining ACID guarantees and SQL compatibility. As enterprise applications increasingly need both AI-powered features and complex data modeling capabilities, the boundaries between these specialized database types are beginning to blur. The decision often isn't about which approach is universally better, but rather which one aligns most closely with your specific application's core requirements and technical priorities.