What is a graph database? And why should we care? Graph DBs are not new, but adoption is growing quickly because so much of our data involves connections and relationships. Graph databases are organized around the concept of nodes—with each node representing an entity such as a person or product—and the relationships between and among nodes. Social networks are sometimes offered as examples of how graph databases connect the dots, but there are many other use cases: fraud detection, product recommendations, physical networks, and more.
Graph Databases Are Booming
Graph Databases Are Booming
Graph Databases Are Booming
What is a graph database? And why should we care? Graph DBs are not new, but adoption is growing quickly because so much of our data involves connections and relationships. Graph databases are organized around the concept of nodes—with each node representing an entity such as a person or product—and the relationships between and among nodes. Social networks are sometimes offered as examples of how graph databases connect the dots, but there are many other use cases: fraud detection, product recommendations, physical networks, and more.