RDBMS & Graphs: Relational vs. Graph Data Modeling

The text discusses the differences between data modeling for relational databases and graph databases. It explains that graph databases support a flexible and fine-grained data model, allowing for easy and intuitive representation of rich domains. In contrast, relational databases often require denormalization to improve performance, which can lead to complexity and resistance to rapid change. Graph databases, on the other hand, enable a more accurate representation of the domain, with a focus on capturing relevant roles, attributes, and connections as relationships. The text provides examples of data center management domains modeled using both relational and graph data models, highlighting the benefits of the graph approach in terms of simplicity, expressiveness, and adaptability to changing requirements.