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.

George Anadiotis, Linked Data Orchestration/ZDNet: “2018 was the Year of the Graph, the year graph databases went mainstream. I have no reason to think this will change, it will only accelerate.

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

Neo4j is among the graph database vendors who have been around the longest, and it now is the best-funded one, too. But that does not mean it's the only one worth keeping an eye on. Amazon entered ...

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.