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 efficient querying and analysis of complex connections. 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 users to easily traverse relationships and uncover insights that might be difficult to find in other database types. Popular graph databases include Neo4j and Amazon Neptune.