In recent years, graph databases like AWS Neptune have witnessed a surge in popularity, reflecting a growing interest in more dynamic data management solutions. Parallel to this, GraphQL has carved out its niche as a preferred query language for APIs, known for its efficiency and flexibility. This article is designed to provide a deep dive into the world of AWS Neptune and GraphQL. We will explore AWS Neptune and understand GraphQL in a practical way.
Knowledge Graph and Graph Databases
A knowledge graph represents a network of real-world entities (objects, concepts, etc.) and shows the relationships between them. Knowledge graphs are created from formal ontologies that define the entities and relationships in the graph. Ontologies are the backbone of a knowledge graph because they define the data schema of the graph. In simple words: