A graph database is a type of data storage designed to handle data with complex relationships. Instead of storing data in tables and rows, it uses nodes, edges, and properties to represent and connect data points. This structure allows for efficient querying and analysis of interconnected data, making it ideal for applications like social networks, recommendation engines, and fraud detection. By focusing on relationships, graph databases enable flexible data modeling and improved performance in processing complex queries.