Graph Technology Provides Valuable Insights From Interconnected Data
The use of graph databases and the popularity of graph analysis have been rapidly growing in recent years. Technology companies such as Google, Facebook and Twitter have built and now use their own proprietary graph databases. Google created a graph database for Knowledge Graph, a project designed to build “a massive graph of real-world things and their connections.” Facebook uses graph technology to power its Graph Search engine and its social graph. Twitter uses graph technology to power the Twitter interest graph, a graph database used for user-interest modeling and analysis.
Recent years have seen an explosion of technologies for managing, processing and analyzing graphs. This has been popularized by leading social web properties like Facebook and LinkedIn, together with Google and Twitter. Therefore as you might expect, popular awareness of graph databases has largely focused around the social graph, and various social uses. In parallel to this buzz though, more than 30 of the Global 2000 have in the past 18 months quietly been deploying graph databases across quite a broad range of business critical use cases. While some are social, the majority actually aren’t.