TigerGraph's new eBook "Native Parallel Graph: The Next Generation of Graph Database for Real-Time Deep Link Analytics," discusses what developers need to learn and leverage the power of scalable and ...

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 ...

Timelines are excellent for visualizing change over time, but most timeline generators limit you to a single timeline. Web application Preceden features parallel timelines and accompanying charts. At ...

Graph databases are the fastest growing category in all of data management, according to DB-Engines.com, a database consultancy. Since seeing early adoption by companies including Twitter, Facebook ...

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, ...