Why would you want to use No-SQL on an SQL database? Like for convenience only or are there some other benefits? They are wildly incompatible so do you only get the subset or is there some transformative magic done in the API?
What you said is the old concept of relational databases. SQLite, years ago, added native JSON and JSON operations such as JSON_EXTRACT, JSON_EACH, JSON_SET, etc., which blurred the line between SQL and NoSQL. However, not many developers utilize it, so I'm trying to bring it to the easiness of PyMongo APIs. If you read the examples and test cases in my repo, you will no longer mention subsets. While it's true, I've already addressed most of them and am still progressing.
Nice job!
What I was wondering about is the possibility to just chuck in any kind of data anywhere, or have gaping holes in some, which SQL isn't suspecting/allowing but NoSQL does.
You're gonna hate/love learning about how Documentdb works (it's postgres with extensions).
Ha ha I have worked with MongoDB and I dhad mixed feelings about the researcher who set up the database (just mix anything in anywhere) 😸
20250903: I’ve made a lot of updates since my last post. Performance has improved thanks to the use of temp table. Please check it out and give it a try!
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