[0] https://blogs.oracle.com/oraclemagazine/perform-basic-crud-o...
That entirely depends on the DB. Oracle for example always executes with a server-side cursor; all declaring it does is give you a handle to what it was doing anyway.
Without disagreeing with any of the above, one important consideration is what you're going to do with the query. If all you want to know is a column's mean or some other simplified statistical value, there's really no sense in pulling all the data into Python just to calculate it. Do it inside the DB itself with SQL.
On the other hand, if you need that data to do other work (i.e. populate the table in a webpage, or generate a new descriptive data set or whatever), then the trade-off for pulling it into Python/pandas and running a mean in addition to the other work becomes much smaller.
My approach is usually to do as much data filtering and parsing as possible inside SQL, but things like complex parsing and string manipulation (especially!) I'll do with Python. I can do some simple string work in SQL, but I can almost always do it faster and cleaner in Python.
For a server reading and writing from/on a database, you paginate your queries. On Postgres that would be using "limit" and doing small bulk inserts, but under Oracle your options for inserting are limited, so there is still value on cursors.
There is the odd occasion where you'll will iterate through the entire results set, do something fast for each and every row, and only get something useful on the end. Those are classic problems where cursors are more efficient than the alternatives. But even on those, once you add error handling and recovering may yield better results with pagination.
I'm not really an RDBMS guy (but I can write a select query from scratch!), but IIRC, the Netscape Server API (where Javascript got it's start - not in the browser!), there was heavy use of and expectation in the NSAPI of cursors for tabular data table scrolling and the like. I don't recall if they were in the DB or the HTTPD server.
But I do know that if you didn't want a 20,000 row response to your query to be HTML-ized to be transmitted and then displayed (sometimes over a 56kbps modem), you used cursors in the NSAPI.
I have no idea about whether that was a good design decision at the time, and even less idea now, but I kind of incorporated the practice, and didn't know it was "bad".
It is relevant for large web-API end-point responses (pagination) even now, no?
So! Why is that bad? :-)
EDIT: Please don't be snarky - I spend more time figuring out clock-skew on high-frequency mixed-signal boards than I do talking to a database, and I'd like to learn to be better at the latter.
With an in-memory database or running it on an NVMe drive you can get some ridiculous performance out of Sqlite using APSW cursors.
https://stackoverflow.com/questions/58141/why-is-it-consider...