So it turned out to be a really easy model, to be both flexible and ... Support for RDF import/export, for example, which other graph databases offer, would be an obvious benefit.

Let’s look at an example Jeff Carpenter is a technical ... As you might have noticed, there isn’t any new information in the graph data model that we couldn’t capture in a traditional ...

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 ...

For example, relational is ideally suited to the management of financial transactions or product inventories.” At the same time, “If the data model needs to be flexible, then graph databases are a ...

Getting Your Data Graph-Ready After deciding on the technology and the key operational and logistical questions you want to answer with graph, your next step is to build a graph data model.

For example, LDBC collaboration has helped drive standardization of the graph data model and query languages. This standardization helps ease the definition of benchmarks and is valuable to users ...

A new semantic-based graph data model has emerged within the enterprise ... The practicality of these realities is demonstrated in examples pertaining to intelligence, fraud detection, and ...

This release includes a major change to the graph data model with the introduction of a new schema construct ... new applications that are based on relationships, Aslett said -- for example: the ...

It depends on the data set, he said. “A graph is a good abstraction for a social network, but social networks are so much more. With higher-order systems, there are more ways to model.” Graph theory ...

It’s open source, uses an SQL-like query language, follows the Property Graph Data Model and supports indexes ... that will connect to the server. For example, if you’re connecting from ...