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 ...

Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it ...

A new semantic-based graph data model has emerged within the enterprise. This data model has all of the advantages of the relational data model, but goes even further in providing for more ...

While it does a good job with graph databases, it also shines with basic relational tables. Many users are deploying GraphQL for tasks that aren’t strictly graph applications.

Use a relational database for it,” said Emil Eifrem, Neo’s CEO. “But if you have data that is messy, that is complex, that is connected, then a graph database is vastly superior.” ...

The relational database is primarily oriented toward the modeling of objects (entities) and relationships. Generally, the relational model works best when there are a relatively small and static ...

OrientDB: A versatile open-source option suitable for businesses of various sizes, OrientDB offers a multi-model database that combines graph and document functionalities.

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-relational database developer EdgeDB Inc. is gearing up for prime time after closing on a $15 million early-stage round of funding ahead of its official launch early next year.