The proliferation of database technologies highlights the limitations of relational databases in handling complex, connected data. Relational databases excel with tabular data and consistent schema but struggle to store or express relationships between individual data elements. Graph databases offer a more flexible alternative by modeling data with high numbers of relationships, expanding models easily, and querying data relationships in real-time. This approach can lead to improved developer productivity, reduced project costs, and faster time-to-market, particularly for applications with rapidly evolving requirements or connected data. By structuring data around relationships rather than schema, graph databases can achieve better real-time query performance and make it easier to add new data or relationships without significant impact on the application.