A graph is a data structure composed of vertices and edges. These terms are synonymous with the following: vertices, dots, nodes, things, points edges, lines, links, relations, arcs From vertices and edges, numerous artificial and real-world systems can be modeled and processed. The purpose of this post is to explore a graph representation of Wikipedia persisted in the graph database Neo4j and pro
Neo4j Graph Database Tutorial: How to build a Route Planner and other Examples Often in the life of developer’s life there is a scenario where using a relational database tends to get complicated or sometimes even slow – especially when there are fragments with multiple relationships or multiple connections present. This often leads to complex database queries or desperate software engineers tryin
this post presents an analysis of mysql (a relational database) and neo4j (a graph database) in a side-by-side comparison on a simple graph traversal. the data set that was used was an artificially generated graph with natural statistics. the graph has 1 million vertices and 4 million edges. the degree distribution of this graph on a log-log plot is provided below. a visualization of a 1,000 verte
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