You can, in fact, easily represent a relational database using graphs, because relational table/column/row/keys structures are themselves a form of graph. Until comparatively recently, this ...

and the combination will store data in both graph and traditional tables. The tool can run more than 60 different graph algorithms, like finding the shortest connection between people or looking ...

there isn’t any new information in the graph data model that we couldn’t capture in a traditional relational data model. After all, it’s simple to describe relationships between tables using ...

multiple tables would need to be joined, leading to lengthy query times and exponential costs. In contrast, graph databases are designed to handle complex, interconnected questions more efficiently.

Those scenarios are something RDF graph databases are generally good at. The twist here is the data lineage and authenticity capabilities that Fluree brings to the table. It also looked like ...

using a relational database, would require laborious modeling and cumbersome table joins to yield actionable insights. This is the sort of situation where a graph database shines. UnitedHealth ...

While still a bit of an outlier, graph-oriented databases continue to find a role in the modern data stack. Using the concepts of nodes, edges and properties rather than tables, graph databases ...

Graph databases such as Neo4j are very different from traditional Structured Query Language-based data platforms such as Oracle and Microsoft SQL. Instead of storing data in tables consisting of ...

Save guides, add subjects and pick up where you left off with your BBC account. Data can be presented in many ways that make it quicker and easier to read. In this section we will look at some of ...