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There are other ORMs, such as Canonical's Stormbut most of them do not appear to currently be under active development. Learn more about the major active ORMs below. Django's ORM works well for simple and medium-complexity database operations.
It is technically possible to drop down to SQL but it ties the queries to a specific database implementation. Note though it is possible that swappable ORM backends will be possible in the future as it is now possible to change the template engine for rendering output in Django. Since the majority of Django projects are tied to the default ORM, it is best to read up on advanced use cases and tools for doing your best work within the existing framework.
There is an entire page on SQLAlchemy that you should read if you want to learn more about using the library. Schema migrations Schema migrations, for example when you need to add a new column to an existing table in your database, are not technically part of ORMs.
However, since ORMs typically lead to a hands-off approach to the database at the developers peril in many caseslibraries to perform schema migrations often go hand-in-hand with Python ORM usage on web application projects. Database schema migrations are a complex topic and deserve their own page.
For now, we'll lump schema migration resources under ORM links below. Overall I found the critique of conceptual ideas worth the time it took to read the presentation slides and companion text.
What ORMs have taught me: I think the author makes some valid points that some ORMs can be a shaky foundation for extremely complicated database-backed applications.
However, I disagree with the overriding conclusion to eschew ORMs in favor of stored procedures. Stored procedures have their own issues and there are no perfect solutions, but I personally prefer using an ORM at the start of almost every project even if it later needs to be replaced with direct SQL queries.
The gist of the argument against ORMs is captured in Ted's quote that an ORM "represents a quagmire which starts well, gets more complicated as time passes, and before long entraps its users in a commitment that has no clear demarcation point, no clear win conditions, and no clear exit strategy.
How to Get Along with your Object-Relational Mapper coins the funny but insightful phrase "database denial" to describe how some ORMs provide a usage model that can cause more issues than they solve over straight SQL queries.
The post then goes into much more detail about the problems that can arise and how to mitigate or avoid them. SQLObject resources SQLObject has been around for a long time as an open source project but unfortunately there are not that many tutorials for it.
The following talks and posts will get you started. If you take an interest in the project and write additional resources, file an issue ticket so we can get them added to this list. Connecting databases to Python with SQLObject is an older post but still relevant with getting started basics.
What would you like to learn about building Python web apps? Tell me about standard relational databases. What're these NoSQL data stores hipster developers keep talking about? I want to know about working with data in Python.
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