The use of graph databases has grown massively in recent years, and they are becoming promising solutions for organizations in any industry. Their increased flexibility makes it easier to leverage relationships and connections in a way that traditional relational databases can’t do. But how do you know when to use a graph database? In this article, we explore what to consider if you’re thinking of using a graph database and show how the best approach may be to not use one at all.

What Is a Graph Database?

A graph database is a type of database that uses graph theory as the foundation for its data model. Graph databases consider connectedness as a first-class citizen, making them better suited to represent connected data than more old-school relational databases.

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