A Graph Database is a type of database designed to represent and store data in the form of graphs. In this structure, data is organized as nodes (entities) and edges (relationships), allowing for complex connections to be easily mapped and queried. This makes graph databases particularly useful for applications like social networks, recommendation systems, and fraud detection. Unlike traditional relational databases, which use tables and rows, graph databases excel at handling interconnected data. They enable efficient traversal of relationships, making it easier to analyze how different entities, such as users, products, or locations, interact with one another. This capability enhances performance for queries involving relationships.