A graph database uses graph structures with nodes, edges, and properties to represent and store data. 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.
Nowadays, most of the data exists in the form of the relationship between different objects and more often, the relationship between the data is more valuable than the data itself.
Relational databases store highly structured data which have several records storing the same type of data so they can be used to store structured data and, they do not store the relationships between the data.
Unlike other databases, graph databases store relationships and connections as first-class entities.
- Graph Database Features
- Graph Database Technology
- Graph Analytics
- Graph Modelling
- Graph Query Language
- Graph Data Formats