Graph software shines spotlight on data relationships
Graph database use cases primarily involve data sets with many-to-many relationships, according to Philip Howard, an analyst at Bloor Research. For such applications, "graph databases not only perform way better than relational databases, but they allow some types of queries that are simply not possible otherwise," Howard wrote on Bloor's website.
This handbook looks at what graph databases can do and when organizations might want to consider using them. In the opening feature, two users discuss their deployment of graph database software and their experiences with the technology. We also detail the different technology options available to prospective graph database users.
Next, we explore how graph data models work and offer advice on how to get started on prototypes that can be used to test out different graph databases. And we close with an article on the growing use of knowledge graphs in business applications, particularly to underpin voice assistants and other AI systems that need to understand how different entities are related to one another.
Relational software still dominates the database market overall. But graph database use cases are among the applications that may call for an alternative technology path.