Prototyping a Graph Database
Blog post from Neo4j
Rik Van Bruggen presented a meetup on prototyping a graph database in Amsterdam, where attendees aimed to quickly and efficiently prototype a graph database. He emphasized the importance of modeling principles similar to classical use story modeling, considering use cases and query patterns to drive the model. The model should not be afraid of normalisation or redundancy, as it is common to have multiple ways to model relationships. A prototype dataset was generated using GraphGen, which allowed attendees to quickly populate a Neo4j database with sample data. To explore the dataset, indexes were added for efficient queries, and attendees performed traversals starting from different nodes in the graph, such as hardware or users, to answer questions about queryability and data relationships.
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