Graph databases shine when the goal is to capture ... and the lines connecting the people (with labels such as “friend” or “mother” or “supervisor”) would indicate their relationship.

Twenty years ago, my development team built a natural language processing engine that scanned employment, auto, and real estate advertisements for searchable categories. I knew that we had a ...

By default, though, Excel's graphs don't include label information such ... How to Make a Graph With Strings in Excel. When you import data into Excel, if Excel... How to Make a Graph in Excel ...

It also now supports labels that refer to subsets of nodes in a graph, introducing a form of schema into the technology. This means that the data can be indexed better, allowing the developer ...

What Is a Graph Database? Use Cases, Benefits and More Your email has been sent Efficient relationship processing. Flexibility and agility. Intuitive data modeling. Optimized for complex operations.

A semantic graph database technology vendor is supporting a key specification designed to validate graph-based data against a set of conditions that specify the “shape” of data. The goal is a more ...

The graph database was originally designed to store networks — that is, the connections between several elements such as people, places they might visit, or the things they might use.

Graph database startup TigerGraph Inc. today announced a major update to its flagship cloud platform with the Savanna release, bringing with it six times faster network deployments and dozens of ...

His story sheds some light on the foundations of the emerging graph landscape, and hints to what could be coming next in the database world. Thus, Aurelius was founded in order to handle the ...