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 ...

VEsoft Inc. has created Nebula Graph, the world’s most capable database for big data analytics discovery. Nebula Graph provides an industry-best capability of storing and handling billions of vertices ...

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.

Neo4j Aura Graph Analytics comes with more than 65 ready-to-use graph algorithms and is optimized for high-performance AI applications, with support for parallel workflows ensuring any app can ...

Graph analytics is critical to understanding and making sense of your data, in particular when combating fraud. Watch this demo and understand how to focus your investigation and focus your leads.

Part I of our series on graph analytics introduced us to graph analytics, and its brethren graph databases. We talked about the use of graph analytics to understand and visualize relationships ...

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.

Neo4j®, the world's leading graph database and analytics company, announced the launch of Neo4j Aura Graph Analytics, a new serverless offering that for the first time can be used seamlessly with ...

By mapping relationships among high volumes of highly connected data, graph analytics unlocks more insightful questions and produces more accurate outcomes ...

Big Data and Analytics TigerGraph CEO Yu Xu on the Future of Graph Analytics Dr. Yu Xu discusses why graph analytics hasn’t been adopted as much as other analytics methods – and why that’s ...