Starting Graph Databases with Neo4j 2.0


As NOSQL begins to mature, there are four main families that have emerged. Three of those families (key-value, column family and document stores) address simple data, where independent records are stored and indexed and lack the familiar notion of a join. The fourth member of the NoSQL family, the graph databases, address more complex challenges with interconnected (joined-up) data making them ideal for high-fidelity modelling and high-performance querying of rich, real-world domains. In this article we’ll examine Neo4j, a popular graph database, and see how we can use graphs to store and query complex interconnected data for fun and profit.

Software Developer’s Journal, October 2013
Jim Webber
Jim Webber
Chief Scientist

I’m a computer scientist interested in fault-tolerance for graph databases.