It's true that relational databases have their perfect use cases, but for highly interconnected data or applications with regularly changing database schemas, graph databases offer a more suitable alternative due to query performance and schema evolution benefits. Query performance in relational databases is impacted by data growth and the number of JOINs, whereas graph databases are scalable and show small increases in query times as data grows, making them ideal for large-scale applications. Additionally, graph databases are schema-optional, allowing for rapid addition of new data elements and relationships without significant development or operational overhead, making them a more future-proof solution for rapidly evolving schemas.