While organizations seek more from their applications, including features, data variety, agility, speed, and innovative capabilities to uncover rich connections in their data. Connected data enables advanced capabilities such as reduced time-to-market, unified data across disparate systems with master data management approaches, and real-time product recommendations that can save millions of dollars by analyzing complex connections to fight financial fraud. A graph database like Neo4j delivers these capabilities without risking Oracle investments, providing a better bottom-line result for enterprise architects and business teams alike. Relational databases like Oracle are optimized for highly structured, predetermined schemas but struggle with navigating multi-layered relationships in real-time. In contrast, graph databases like Neo4j put data relationships first, enabling developers to be more agile and deliver applications faster due to their schema-optional nature, which abstracts data models and validation to the application tier.