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

Graph databases facilitate discovery and analysis closely connected facts. This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics.

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

If the history of relational databases is any indication, what is going on in graph databases right now may be history in the making.

Whereas relational databases require careful attention to schema design in order to optimize performance, graph databases handle new data elements with relative ease, said Comcast’s Hashimoto.

Sahni feels that some applications should use a combination of relational and graph databases, with each type powering the individual functions that it does best.

Most database startups avoid building relational databases, since that market is dominated by a few goliaths. Oracle, MySQL and Microsoft SQL Server have embedded themselves into the technical ...

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.

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