A graph database can be used as a general-purpose database in applications that don't rely on a single database, allowing developers to use it as their primary source of truth. The choice of database depends on the ecosystem of framework and language integrations available, with Neo4j offering a wide range of drivers and tooling for integration into various tech stacks. Graph databases are particularly useful for speedy prototyping, enabling developers to quickly ask questions about data without declaring a schema. They also provide an intuitive way of modeling, storing, and querying data, which aligns with how we think of relationships in applications. By using a graph database as a general-purpose database, developers can rapidly prototype projects, answer questions quickly, and optimize their data storage structure easily.