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 have been around in one form or another since the early oughts, but they were generally slower, more complex to work with, and more limited in terms of their applicability than ...

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 ...

Comcast Corp. is working on ways to better understand its customers’ families. The company plans to roll out features that enable parents to manage the devices their children use at a fine level of ...

Faster answers. JLR uses Google BigQuery for its data warehouses, which draw upon 12 separate data sources (the equivalent of 23 relational database tables), and uses Tableau as the interface for ...

Of course, if your team has skills with relational or NoSQL databases, many of those platforms offer graph materialized views that allow you to run fairly simple graph queries that could handle ...

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.Today’s Seri ...

Bitnine is a dedicated graph database solution company which provides the technological basis for swift analysis and visualization of multi-sourced data with its graph database solution ‘AgensGraph.’ ...

The graph database was originally designed to store networks — that is, the connections between several elements such as people, places they might visit, or the things they might use.