Victor Lee is director of product management at TigerGraph. Graph databases excel at answering complex questions about relationships in large data sets. But they hit a wall—in terms of both ...

Early generation graph technologies have been unable to support real-time analytics on data that continues to increase in both volume and complexity. This white paper details how Native Parallel Graph ...

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 ...

In recent years, the Massively Parallel Computation (MPC) model has gained significant attention. However, most of distributed and parallel graph algorithms in the MPC model are designed for static ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Trovares Inc., a property graph analytics company started by the co-founder and former chief executive of Cray Inc., has raised $2 million to launch a new graph analytics engine. The engine uses ...

It's a good day when you finally find new information about a Microsoft codename I first heard a couple of years ago, but about which I never could find more information. One of my readers (thanks, ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Graph databases — also known as graph-oriented databases — use graph ...