Neo4j graph modeling ties domain questions to storage shape

The page defines data modeling as setting query logic and storage structure. It summarizes a cycle: domain and application questions, initial entities and relations, test use cases, create a graph with Cypher test data, retest including performance, then refactor for new questions or speed. Glossary snippets define labels, nodes, and related terms.

Analytics and product teams building on Neo4j need this discipline so queries match how the graph is shaped. Linked resources include GraphAcademy fundamentals, relational-to-graph migration, modeling tools, tips, design examples, and community GraphGists.

A shared graph model—nodes, labels, relationships—is the semantic contract between domain language and physical store. Governed meaning across agents and systems starts with that explicit structure, not with ad hoc property bags.