A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data. Unlike traditional databases organized in rows and columns, graph databases ...

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 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, ...

While relational databases remained strong, the 2000s saw the emergence of XML databases, ... Graph databases have been around in one form or another since the early oughts, ...

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