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 ...

The row and column structure of a relational database, with its "join" operations and the like, didn't cut it. Also: Big data in action: Using graph databases to drive new customer insights ...

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

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 ...

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

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.