Data-hungry AI applications are fed complex information, and that's where graph databases and knowledge graphs play a crucial role.

But Neptune also exemplifies another important development in graph databases: integration of data science and machine learning features.

While approaches and capabilities differ, all of these databases allow you to build machine learning models right where your data resides.

According to a report by industry observer DB-Engines, “Graph DBMSs are gaining in popularity faster than any other database category,” growing 300 percent since January of last year.