Graph databases are slower and more resource-consuming for insert performance than relational databases. However, in most applications, records are read many more times than they are inserted or ...

As data complexity continues to grow and the demand for real-time insights increases, the move away from traditional relational databases and towards the adoption of graph databases will become vital.

Although databases that focus on the relational aspect of data analytics abound, few are as effective at revealing the hidden valuable insights as a graph database.

In the process, graph databases and knowledge graphs offer several advantages over standard or relational databases. “By design, graph databases are efficient at storing and querying relationships ...

The appetite for connected data is fueling a shift from traditional relational databases to interconnected graph-based models. This evolution promises deeper insights and can facilitate a more ...

Graph and other NoSQL databases are “poised for significant growth and innovation”, says Whitehead. He’s not alone in this thinking.