“Before, we’d use a graph to store the data with the machine learning happening in Python. We’re connecting the dots.” Image: Neo4j ...

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

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.

If your database doesn’t already support internal machine learning, it’s likely that you can add that capability using MindsDB, which integrates with a half-dozen databases and five BI tools.

Microsoft's two new video series target beginner developers interested in using Python for machine-learning programs.

Several of the largest dating sites in the world have shifted toward graph databases in the last nine months. LinkedIn has a large team working on a proprietary graph database, which sits at the ...