Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder ...

What Is a Graph Database? Use Cases, Benefits and More Your email has been sent Efficient relationship processing. Flexibility and agility. Intuitive data modeling. Optimized for complex operations.

The graph database was originally designed to store networks — that is, the connections between several elements such as people, places they might visit, or the things they might use.

In addition to this, you're seeing the merger of graph databases with NoSQL databases (in either JSON or XML flavor, or in some cases both). Graph databases are inherently more flexible than ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. As enterprises continue to navigate the complexities of digital transformation ...

Learn More Graph databases are playing a growing role in improving fraud detection, recommendation engines, lead prioritization, digital twins and old-fashioned analytics. But they suffer ...

XML or time series databases, I believe RDF databases are a very mature market with many competitors, where every vendor has its strengths and weakness. For sure, RDF/graph databases are not ...

As it turns out, Granny’s Addressbook is also an excellent test for graph databases, the black sheep of the NoSQL quadrumvirate (see “Which freaking database should I use?“). To add ...

We may make money when you click on links to our partners. Learn More. Graph databases are now clearly riding the upward trend toward mainstream adoption for which the sector has been waiting for ...

Graph is a data model that has long lingered on the fringe of mainstream adoption. But that is changing, as graph lends itself well to representing many real world problems, and the technology is ...