> Despite complaining, I'm not a database guru, however if you've been paying attention to AI at all, graph databases seem to appear to be superior, in function

> Despite complaining, I'm not a database guru, however if you've been paying attention to AI at all, graph databases seem to appear to be superior, in function and form. Relational databases are good enough for many things, but I don't think they are the form most natural for data, just what we as humans like to see as reports. This is the same line the NoSQL crowd trotted out 20 years ago, complete with "they don't need joins!" as one of the commonly listed pros. The issue is that AI doesn't care about data integrity and consistency the way, say, a medical records database, financial database, or similar database does. Social media is largely the same way. Who cares if a random comment, post, or vote is lost? It's not ideal, but specific facts are not that important. Meanwhile, a lot of RDBMSs do store data where every fact in every field of every row is critical. We end up right back at the same point we were at with NoSQL. These alternative data stores make sense for their special purposes, but for general-purpose data storage of objects you can define the important properties of, the RDBMS works extremely well. The RDBMS is one of the oldest and most heavily tested technologies in all of computing. It's extremely unlikely that it will end up being replaced.