Understanding the relationships in graph database theory allows us to work with the new 'shape' of data itself. Businesspeople like graphs. C-suite executives are fond of pie charts, Venn diagrams, ...

My fans know that my standard test for everything from PaaS (platform as a service) to alternative programming languages is something I call Granny’s Addressbook, a simple CRUD application. As it ...

Graph databases, which explicitly express the connections between nodes, are more efficient at the analysis of networks (computer, human, geographic, or otherwise) than relational databases. That ...

Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

Microsoft Fabric expands as industry analysts reveal critical criteria enterprises need for evaluating AI-ready data ...

Graph databases represent one of the fastest-growing areas in the database market. MarketsandMarkets’ report on graph databases predicts that graph databases will grow from $1.9 billion in 2021 to ...

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

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Real-time database vendor Aerospike is expanding its multi-model ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. Event host TigerGraph, which makes a graph database that ...

When Mingxi Wu took over as CEO of TigerGraph five months ago, he promised that the company would return to focusing on the development of product features demanded by the biggest customers. That ...