Graph databases focus on data relationships, whereas SQL and NoSQL databases prioritize data aggregation and collection. Graph databases store data as nodes connected via relationships, allowing for efficient querying and navigation of complex data structures. These systems provide benefits such as simple and natural data modeling, flexibility for evolving data structures, simultaneous support for real-time updates and queries, and better query performance with connected data. In contrast to traditional rigid systems, graph databases offer a scalable, secure, and flexible platform for enterprises to deploy use cases, including real-time recommendation engines, fraud detection, knowledge graphs, and AI/machine learning applications.