SQL Graph Database

SQL Graph Database has powerful features for analyzing complex data. In a graph database, relationships are a built-in feature that can be easily and dynamically changed.

Compare this to a relational database, where relationships are created at design time. While relationships can be modified, it is not efficient to do this dynamically. When using a relational database, there is a performance penalty for both reads and writes that gets worse as the relationships become more complex.

With traditional relational databases, relationships can be made between entities (tables), but they are somewhat fixed, cumbersome, and difficult to maintain and change.

A graph database organizes data into nodes and edges. A node might represent a person, product, sale, address, or any other information that you would store in a relational table.

Relationships are stored in edges, which can be dynamically updated and express relationships as one-way or two-way. There...