The similarities between relational databases and semantic graph databases allow for a natural evolution of user skills, which is substantially more cost efficient than having to finance a slew of ...

A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

Graph databases and relational databases have big differences when it comes to how connections work, ... The GitHub Enterprise example. January 3, ... Relational database-management systems ...

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 ...

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 ...

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 ...

Relational databases are well-suited to conventional data analysis such as reporting and classical statistical analysis (what you learned in the college Statistics 101 class, for example).

Graph databases facilitate discovery and analysis closely connected facts. This post is one of a series that introduces the fundamentals of NOSQL databases, and their role in Big Data Analytics.

TL;DR version: Once you need complex joins of large tables, relational database queries slow down; the same task is faster on a graph database. Like relational databases, graph databases can be ...

Graph database experts hope that better benchmarks could play a similar role in the evolution of graph databases. Ronald sees a need for more graph database benchmarks in verticals. For example ...