Graph databases and relational databases have big differences when it comes to how connections work, among other things ...

The relational database is primarily oriented toward the modeling of objects (entities) and relationships. Generally, the relational model works best when there are a relatively small and static ...

Graph databases are disrupting the billion-dollar market for the traditional Relational Database Management System (RDBMS). This is because large organizations today require big data and business ...

There's a point to such passion in a world still being evangelized. Graph databases haven't yet taken over. The relational database still vastly rules the roost.

The team proposed a framework that formulates program retrieval as a multi-relational graph similarity problem.

Graph-relational database developer EdgeDB Inc. is gearing up for prime time after closing on a $15 million early-stage round of funding ahead of its official launch early next year.

Graph databases are inherently more flexible than traditional relational database systems because it is possible to treat the metadata about the database as data itself, accessible in exactly the ...

Graph databases are finding favor for their unique ability to represent complex relationships that rapidly navigate between elements in the database to discover correlations.

A research team led by Zhengtao Yu introduces the Element Relational Graph-Augmented Multi-Granularity Contextualized Encoder (ERGM) for document-level event role filler extraction, outperforming ...

Newsela uses Dgraph, a “graph database,” to speed the delivery of content while making it easier for the company’s developers to create new features.