A graph database, or otherwise known as “graph-oriented database,” is a particular form of NoSQL database that makes use of a graph to query, house, and map out relationships. It consists of databases which specifically serve to store data structures that are graph-oriented.
A graph database is an example of a storage solution tha
t shows where linked elements are connected to each other in the absence of an index. Groups of a specific entity can be accessed by means of dereferencing a pointer.
There are various kinds of graphs that can be stored. They can range from a single undirected graph to property graphs to hyper-graphs.
A graph database usually meets the following requirements:
Storage is specifically arranged for the data to be represented as a graph, with provisions made for housing edges and vertices.
Storage is tweaked for graph transversal without making use of an index when following edges.
A graph database is arranged so queries leverage proximity data beginning from a single or multiple root
Storage is tweaked for graph transversal without making use of an index when following edges.
A graph database is arranged so queries leverage proximity data beginning from a single or multiple root
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