A note of caution: Graph databases are not a substitute or an alternative for relational databases. The two types of databases fulfill different data processing and application objectives.

Over time, most likely, graph databases will become as commonplace as relational databases are today. Allied to this is the rise of graph data query languages like Cypher, which was recently made ...

You can, in fact, easily represent a relational database using graphs, because relational table/column/row/keys structures are themselves a form of graph.

The choice between a graph database and a relational database for Social Network Analysis (SNA) depends on data characteristics and query needs. Graph databases excel for highly connected, dynamic ...

Graph databases have moved from a topic of academic study into the mainstream of information technology in the last few years. Now CIOs are confronted with the need to better understand: What ...

You can think of a graph database as a set of interconnected circles (nodes) and each node represents a person, a product, a place or ‘thing’ that we want to build into our data universe.

Companies who are adopting the graph approach are fundamentally transforming their organizations in the “data age.” Semantic graph databases are the successors of relational databases. They represent ...

Graph databases – in which relationships are stored natively alongside the data elements – do not provide a significant advantage over well-architected relational databases for most of the same use ...