Graph Databases - The Big Picture

Charles Nurse, Graph Enthusiast and Pluralsight Author looks at the lay of the land for graph database as they continue to explode in popularity.

Graph databases are NoSQL databases that focus on the relationships in the data. Systems are composed of vertices (or nodes) which are the entities, such as a person or a place, while edges define the relationship between these vertices.

These databases are great for modelling social interactions and domains where connections between entities are as important as the entities themselves.

In this session, he will cover the basics of graph databases and review the common graph databases like Neo4j, TigerGraph, Azure Cosmos DB and Amazon Neptune, as well as the APIs used to interact with them (Gremlin, Cypher and GQL)