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

You can think of a graph database as a set of interconnected circles (nodes) and each node represents a person, a product, a place or ‘thing’ that we want to build into our data universe.

Graph databases are on an upswing in enterprise IT right now. What are the prerequisites for selection a graph query language in the first place?

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

All databases occasionally run into data integrity issues. With graph databases, where data ingestion has historically been the bottleneck, having trust in the data is even more important.

Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

Graph databases excel for apps that explore many-to-many relationships, such as recommendation systems. Let’s look at an example Jeff Carpenter is a technical evangelist at DataStax. There has ...

Emerging graph database benchmarks are already helping to overcome performance, scalability and reliability issues.

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 start ...

Graph database company Neo4j wants to move beyond providing only its graph database, and is working on what it calls a 'graph platform' to help companies make the most of their data. ZDNet recently ...