Choosing between GraphQL and REST APIs is a pivotal decision for determining how an application interacts with data, particularly in the context of graph databases. While REST has been the traditional choice for over a decade, operating on distinct resources accessed via unique URLs, it often necessitates multiple server requests to retrieve interconnected data, which can be inefficient. GraphQL, developed by Facebook, offers a more flexible approach by allowing multiple resources to be requested in a single query, thus mirroring the interconnected nature of graph data and eliminating issues of over-fetching and under-fetching common in REST APIs. This characteristic makes GraphQL particularly advantageous for graph databases like Memgraph, which are optimized for handling complex, relationship-driven queries. Memgraph's integration with GraphQL, facilitated by tools like GQLAlchemy, allows for efficient translation of GraphQL queries into backend Cypher commands, simplifying development and enhancing real-time capabilities in applications. This synergy provides a seamless experience for frontend teams, enabling them to define complex graph traversals without backend changes and supports real-time data updates, crucial for applications such as fraud detection and social network analysis. Ultimately, while REST remains suitable for simpler data interactions, GraphQL's alignment with graph databases offers a more intuitive and efficient solution for managing complex data relationships.