That, it continues, is important as rigid architectures fail to keep pace with the size, complexity and distributed nature of big data. By multi-model, Franz said its semantic graph database supports ...

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.

For more articles about the future of data management in 2022, download Big Data Quarterly: Data Sourcebook (Winter 2021) Issue. Graph databases (aka triple stores/RDF [Resource Description Framework] ...

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

Graph databases are especially good for managing data about the connections among resources, and they are here to stay as a vital mechanism for managing data. In some enterprises, graph databases are ...

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.

Enterprise knowledge graphs, however, include the metadata and semantic benefits of MDM hubs but link all data together in adherence to semantic standards.

Knowledge graphs are reshaping how we organize and make sense of information. By connecting data points and revealing relationships between them, these powerful tools are transforming industries ...

Big data in action: Using graph databases to drive new customer insights Marketing company Quander is using graph database technology from Neo4j to help its customers make better decisions.