Graph databases have rapidly gained popularity in modern software architecture, as systems increasingly rely on relationships, recommendations, and connected data. From social media platforms and fraud detection systems to recommendation engines and knowledge graphs, graph databases offer a powerful way to model and traverse complex relationships that are hard to express efficiently in relational databases.

This second part of the series narrows the focus to Neo4j, the market’s most prominent graph database engine. We’ll explore its architecture, query language (Cypher), and see how Java developers can leverage Eclipse JNoSQL 1.1.8 to integrate it seamlessly into Java applications.