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

That’s a learning curve.” Sahni feels that some applications should use a combination of relational and graph databases, with each type powering the individual functions that it does best.

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.