Graph Databases are a type of database designed to represent and store data in the form of graphs. In these databases, data is organized as nodes (entities) and edges (relationships), allowing for complex connections to be easily modeled and queried. This structure is particularly useful for applications that require understanding relationships, such as social networks or recommendation systems. Unlike traditional relational databases, which use tables and rows, graph databases excel in handling interconnected data. They enable efficient traversal of relationships, making it easier to perform queries that involve multiple connections. This capability makes them ideal for scenarios like fraud detection and network analysis.