Evaluation of contemporary graph databases
Aparna Vaikuntam, Vaishali Perumal · 2014
Graph databases attempt to make the modelling and processing of highly interconnected data, easier and more efficient by representing a system as a graph-like structure of nodes and edges. The fundamental premise of Graph Databases, unlike relational, is explicit and distinct definition of relationships and direct, non-index based access of related nodes from a given node. Growth of graph databases happened in large part with a need for complex processing of interconnected documents in the WWW and the surge in social networking. What was initially proprietary research has now transformed into a plethora of commercial and open source products, increasingly being adopted outside the internet services industry. This paper attempts to evaluate several such contemporary Graph Databases from a subjective feature-based and empirical performance-based perspective.