Top 5 enterprise graph analytics use cases

Traditional relational databases are good at managing clear and simple relationships: This invoice contains these line items. This loan application contains this set of documents. This department has these employees, and each employee has these working hours.

A traditional database query against these kinds of data sets is based on those predefined relationships — start with this department, filter for these types of employees. Traditional databases fall short when those relationships become convoluted or  cannot be rearranged  without rebuilding the whole data structure.

To solve this problem, enterprises are increasingly turning to graph analytics instead, which are often built on top of graph databases.

Read full article at TechTarget’s SearchBusinessAnalytics.