Graph analysis will push big data evolution to the next plateau of scale and sophistication. Hadoop is one segment of the evolutionary picture, but it’s not necessarily the centerpiece.

How Big Data Carried Graph Theory Into New Dimensions Researchers are turning to the mathematics of higher-order interactions to better model the complex connections within their data.

Nebula Graph Advantages Nebula Graph adopted an open source distributed architecture. This is a strength allowing it to securely process data sets with more capable performance compared to any ...

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 ...

If you’re interested in learning more about graph databases as an option for exploring Big Data, Wikipedia maintains a list of other graph database solutions.

Graph databases are powerful new tools for managing and analyzing heterogeneous data across the enterprise. Most importantly, organizations are beginning tounderstand the specific use cases that graph ...

If you have a lot of big data from several different sources, graph can facilitate data integration and is the natural choice for computational knowledge, inference and learning.

Researchers are turning to the mathematics of higher-order interactions to better model the complex connections within their data.