In recent days, companies are increasingly using graph database applications in respective domains. Graph databases, such as Amazon Neptune, Janusgraph, Neo4j, IBM Graph, Anzograph, etc. are good for several kinds of applications involving highly connected data sets, such as providing recommendations based on the social graph, performing fraud detection, and providing knowledge graph-based product recommendations. This is where traditional SQL joins on huge dataset becomes inefficient on the relational database system.
Real entities and relations between entities can be mapped with nodes(i.e vertices) and edges respectively.
Machine learning engineer | Analytics Lead | Data science