I don't think GitHub stars are a fair assessment; the backend that was most 
widely used for years has over 300: 
https://github.com/michiya/django-pyodbc-azure

But that doesn't really tell much of the story, because the Django backends 
for SQL Server have been so fragmented over the years. Since I started with 
Django in 2015, I've used five different backends for SQL Server support. 
That is the problem: SQL Server is the only one of the "big four" RDBMS's 
without support from core Django (https://db-engines.com/en/ranking). If a 
newcomer using SQL Server tries to find what Django database backend to 
use, they're going to have a heck of a time trying to figure it out on 
Google. There are also fairly large companies that use Django for products 
that can not currently offer support to their corporate clients who require 
SQL Server, because there isn't a reliable commitment to support it.

On the flip side of the coin, Oracle support is the closest analog we have 
to SQL Server support, as they are both paid products from very large 
corporate entities. Oracle is largely supported because the people who need 
it are committed to making it happen in core. As a guestimate, supporting 
SQL Server in core Django would require 6-8 weeks of a properly skilled FTE 
to bring the backend into feature parity with the existing backends, and 
about 2 weeks of an FTE per Django release cycle. Once a group of people, 
or a corporate entity, steps up to commit these resources, it is much more 
likely to happen.

To wildly speculate on Martynas Puronas's question, while there are 
currently backends in core, there are advantages to having the backend as a 
separate package under the Django umbrella. This is similar to why pytz is 
a separate from Python itself. It would allow for separate release cadences 
in line with the underlying database's release schedule. While it certainly 
isn't my decision to make, I could see Django moving in this direction for 
other database backends in the future.

Regards,

Tim

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