Nebula Graph’s distributed high-availability architecture is also designed for scalability and recovery without disruption, ensuring the best business continuity. This deployment model and ...

In this way, next-wave data integration systems will leverage semantic graphs and data virtualization technology to represent the connectedness of data in a way that unlocks business value by ...

Google Cloud has updated its fully managed distributed SQL database service Spanner to add graph processing capabilities, dubbed Spanner Graph.

Explore the features, capabilities and benefits of some of the top data analytics tools to determine which is the best fit for your business.

9 Know the Differing Values of Document-Centric and Graph Databases Certain types of data fit well with the graph data model, especially where navigation of multi-level relationships becomes crucial.

At Data Summit Connect 2020, Thomas Cook, director of sales, Cambridge Semantics, explained the basics of knowledge graphs and how they leverage natural-language processing to automate the ...

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.

Data analytics has the potential to revolutionize decision making, product innovation and operational efficiency in various industries.

Franz claims its upgraded, flexible architecture makes it the first graph database vendor to release a “multi-model” semantic graph and document database. That, it continues, is important as rigid ...

RDF is a graph data model you've probably either never heard of, or already dismissed. Why is that, could there be value in it, and how does it differ from the most popular graph data model out there?