The graph database stands as one of the biggest innovations to emerge from the NoSQL database boom that shook the industry over a decade ago.
Graph databases were developed to derive insights from huge quantities of interconnected data. They store relationships between data objects within the objects themselves, enabling blazingly fast analysis that is nearly impossible to achieve by other means.
Graph databases are intended to run alongside relational databases - which are still the workhorse repositories of choice in most enterprises - rather than replace them. Their key advantage is the ability to perform complex queries quickly across data from multiple systems without the overhead incurred by table joins or data transformations. Aggregating that far-flung data presupposes data integration efforts, often in the form of a data lake.