The primary use of a graph database is to manage and analyze data represented as graphs, which consist of nodes (entities) and edges (relationships). Graph databases are designed to store, retrieve, and manipulate data in a way that emphasizes connections and relationships, making them particularly valuable for applications involving social networks, recommendation systems, and fraud detection. Their flexible schema allows for efficient querying of complex interrelationships, enabling businesses to derive insights from interconnected data more effectively than traditional relational databases.