TechCrunch in an article on Apigee and predictive analytics technology takes note of the increasing demand for graph databases.

…there is the increasing amounts of data that people and machines create. With that scaling in data, there is a growing demand for new types of analytics capabilities. Graph databases are becoming more popular for the varied amounts of data they aggregate and analyze. These graph databases organize nodes, which might be things like a street light or people. The properties of a graph database describe the nodes. A graph database also has “edges” that connect the nodes and properties, defining the relationship between them. The value is derived when analyzing the patterns between the nodes and the properties.

As sensors become more widely used in wearables such as Google Glass, the demand for graph databases will increase. It will be important to correlate the data from the any number of sensors that might be in a house, a car or city street. There will also be the need to analyze increasing amounts of text from medical records, contracts, etc.

Read the full article.