Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Graph technology has become a requirement for the modern enterprise. Companies in virtually ...

Graph algorithms and processing form the backbone of numerous applications across science and industry, ranging from social network analysis to large-scale data management. The field has evolved to ...

Although traditional relational databases will not be disappearing anytime soon, for a growing set of data-intensive problems, graph-based approaches are still finding a fit, even well after the boom ...

Graph databases offer a more efficient way to model relationships and networks than relational (SQL) databases or other kinds of NoSQL databases (document, wide column, and so on). Lately many ...

A new open-source library by Nvidia could be the secret ingredient to advancing analytics and making graph databases faster. The key: parallel processing on Nvidia GPUs. Nvidia has long ago stopped ...

Sure, there are graph databases like Neo4j, but graph analysis or graph search may be more useful, depending on the sorts of data relationships you need to explore Graph processing is hot right now in ...