For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

A next-generation graph-relational database (DB) system has been developed in South Korea. If this system is applied in ...

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-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 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 ...

The addition of vectors provides context to the graph database for enhanced search and supports generative AI and large language models.

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 ...