Choosing between graph databases and RDF engines for consuming and mining linked data
Domingo De Abreu, Alejandro Flores, Guillermo Palma, Valeria Pestana, Jose Pinero, Jonathan Queipo, J F Mendoza Sanchez, María-Esther Vidal · 2013
Abstract. Graphs naturally represent Linked Data and implementations of graph-based tasks are required not only for data consumption, but also for mining patterns among links. Despite efficient graph-based algorithms and engines have been implemented, there is no clear understanding of how these solutions may behave on Linked Data. We evaluate both general purpose graph database and state-of-the-art RDF engines, and our experimental results reveal characteristics of linked datasets and graph-based tasks that may affect their performance. These results can be considered as a further step for solving the problem of choosing between graph databases to consume and mine Linked Data. 1