Graphs are a versatile and dynamic tool used to solve complex problems in various domains, including government agencies. They offer benefits at scale, particularly when dealing with massive amounts of data, as seen in the U.S. Army's graph database for managing strategic assets. Graph databases provide a flexible, scalable, and powerful platform for uncovering relationships between data locked in different repositories. In contrast to traditional relational databases, which are better suited for well-understood, aggregated, and minimally connected data structures, graph databases enable organizations to discover connections among data much faster. A native graph database like Neo4j stores and manages data relationships as first-class entities, offering index-free adjacency and allowing connected nodes to physically point to each other. By leveraging graph databases, government agencies can fulfill their mission-critical objectives and tackle complex problems that require traversing data relationships across different applications or repositories.