Over time, most likely, graph databases will become as commonplace as relational databases are today. Allied to this is the rise of graph data query languages like Cypher, which was recently made ...

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 ...

Graph databases have matured into mainstream information technology. They are no longer esoteric software that’s just emerging from the lab of a startup no one has ever heard of.

Graph database vs. relational database. In a traditional relational or SQL database, the data is organized into tables. Each table records data in a specific format with a fixed number of columns, ...

Graph databases are hot, but can they break relational’s grip?

The choice between a graph database and a relational database for Social Network Analysis (SNA) depends on data characteristics and query needs. Graph databases excel for highly connected, dynamic ...

Graph databases – in which relationships are stored natively alongside the data elements – do not provide a significant advantage over well-architected relational databases for most of the same use ...