A graph database uses graph structures with nodes, edges, and properties to represent and store information. Compared with relational databases, graph databases are often faster for associative data sets, and map more directly to the structure of object-oriented applications. They can scale more naturally to large data sets as they do not typically require expensive join operations. As they depend less on a rigid schema, they are more suitable to manage ad-hoc and changing data with evolving schemas.graph databases are useful for storing, traversing, and processing highly complex relationships.
Use of Graph DataBase...
Graph databases can help improve intelligence, predictive analytics, social network analysis, and decision and process management - which all involve highly complex relationships.
Relational vs object vs graph vs document Comparetion
Graph DataBase Applications...
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