Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

One technology experiencing a kind of renaissance is the graph database, which has existed for years but is finding new relevance in current cybersecurity contexts.

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 ...

As the use of graph databases has grown in recent years, ever more applications of this technology involve storing, searching, and reasoning about events.

However, graph databases probably entered the mainstream with the emergence of Neo4j, a Java-based graph database that originally was an embedded database for Java applications.

Graph database company Neo4j Inc. said today it’s embarking on a multiyear strategic collaboration with the cloud computing giant Amazon Web Services Inc. to enable enterprises to enhance the ...

Relational databases are so entrenched and ubiquitous that we reflexively use them for new application requirements. However, graph databases are better for applications with specific processing ...

From a Neo4j perspective, a novel application like Amundsen becomes the tip of the spear, to show people that working with the graph has unique applications that can be pulled together quickly in ...

For example, graph database specialist Neo Technology of San Mateo, California, recently announced that large retailers including eBay and Walmart have adopted its Neo4j graph database for critical ...

Ian Robinson introduces tools and techniques for building a system around a graph engine, experiment with graph data, and using it in an application.