I've got a meeting coming up with a small team from a commercial DB
vendor that's interested in extending their support into the Python
community (yea!).  Unfortunately, their analysis up until this point
has left them with the impression that supporting the django ORM is
the first priority, and that SQLAlchemy can come later. (boo!)

I need some help with providing arguments on why they should switch
their priorities.  I know there's a terrific list of projects that are
working on SA integration on the main SA webpage -- it pretty much
reads like a "who's who" of the Python world -- but I'm sure the
vendor is most interested in supporting the vast army of developers
doing small- & mid-scale scale web projects, and django still seems to
be in the lead in that space.

>From what I've seen, the django/sa integration project is stalled [1],
so trying to convince them to do SA support first & hope that the
django effort moves forward appears to be a non-starter.

I apologize for going slightly OT, but is there hope for a beefier DB-
API to emerge in the next 6 months?  Choosing to support one ORM or
another wouldn't be so dramatic if the DB-API spec wasn't so
lightweight.

Finally, if I have to bite the bullet & create the sa database engine
myself, is there a "best practice" for getting started?  Is it pretty
much just a game of picking one of the existing ones and tweaking it
until it passes all the unit tests or is there documentation (or even
a "testbasic") that I'm missing?

Thanks!
-Ken

Footnote:
[1]  I noticed in a post last month that Brian Beck is considering
taking over the django sqlalchemy branch, but I'm sure he's got his
hands full with the Pagoda CMS project, so who knows what will happen:
http://blog.case.edu/bmb12/2007/03/thinking_about_taking_over_the_djangosqlalchemy_branch


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