There’s no denying it: Graph databases are hot. According to DB-Engines.com, graph databases have outgrown every other type of database in popularity since 2013, and not by a small margin either. It’s clear that developers, data scientists, and IT pros are just beginning to explore the potential of graph databases to solve new classes of big data analytic and transaction challenges.
Here are five reasons why graph databases are surging in popularity now:
1. It’s All About Relationships
As organizations accumulate large stockpiles of data, it’s only natural to want to know what’s in it. There are many ways to query data, but one of the most interesting approaches involves seeing how various pieces of data are connected, and what relationships exist among the data. That’s one of the capabilities that graph databases excel at.
In a graph database, similar pieces of data are connected directly to one another through common attributes. Relationships are “first-class citizens” in graph databases, unlike in relational databases, which must use special properties like foreign keys to link similar pieces of data, according to a blog post by Neo Technologies, which develops the popular Neo4j database.
Graph databases are useful for storing data that refers to things that…