Hadoop has emerged as the go-to platform for sifting through massive amounts of data on commodity machines. But when it comes to certain types of analytic workloads with open-ended problems, nothing ...

Graph analytics is a great compliment to Hadoop, he adds. So you aren’t familiar with graphs, here’s a great introduction. Tags; analytics; databases; graph database; Howard Solomon.

In addition to keeping close tabs on high performance metrics like the Graph500, which pits Top500 supercomputing sites against one another in an edge traverse-a-thon, another effort to make graph ...

Graph analytics databases have been described as embodying the next generation of data storage connected with AI, and that's what innovation is all about: a new-and-improved version of how ...

Different graph database platforms have different scalability characteristics. In fact, there can be a 100x difference in performance of graph database performance, Speirs said. “The platform choices ...

Graph databases are among most promising new analytic solutions in visualizing data ... Revitalize Your DAM Analytics With Graph Databases 2 minute read. By Pierre DeBois. September 28, 2016.

The TigerGraph Analytics Platform combines a graph storage engine, a graph processing engine, and three types of API. It can run on-premises, in the cloud, or in a hybrid configuration.

Graph analytics, built on the mathematics of graph theory, is used to model pairwise relationships between people, objects, or nodes in a network. It can uncover insights about the strength and ...

I’ve been studying graphs for a while and although it’s always been interesting to hear people talk about graph analytics, it has never been clear to me precisely what is meant.

Dublin, April 24, 2023 (GLOBE NEWSWIRE) -- The "Global Graph Analytics Market: Analysis By Component, By Deployment, By Enterprise Size, By Application, By Industry Vertical, By Region, Size and ...