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 ...

Graph databases have moved from a topic of academic study into the mainstream of information technology in the last few years. Now CIOs are confronted with the need to better understand ...

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 ...

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 ...

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 ...

Automotive giant Daimler is using Neo4j's graph database technology in its HR department. ZDNet spoke to Jochen Linkohr, the manager of HR IT at Daimler, to find out more. ZDNet: When did you ...