[macspoofing]

Be serious. I made this argument in another thread: I don't believe for a second that it's good practice to just work with SQL directly in your business logic. You don't want to litter your code with serialization logic. You don't want litter your code with constraint checking everytime you make a query. Even if you don't use an official ORM framework, you will write an abstraction layer that will duplicate some of the ORM functionality.

I worked with redis extensively, and i got to the point where it was too dangerous to simply assume that none of the other guys on the team (or me) wouldn't put some garbage data in a field because from redis' perspective, every key looks the same and every value is as good as the next. We rolled our own abstraction layer, in which keys and values were wrapped in domain specific objects.

Programming languages, and databases are too general to be useful. If you don't 'constrain' them to your domain, you're going to get destroyed once your product or team scales to a certain size.

[akmiller]

Not converting data into object graphs does not necessitate working with SQL in your domain model. I'm currently working on an application right now which favors simple data structures (hashes, arrays) over custom entities. It favors a business layer that operates on those data structures over composing dozens of "Model" based classes. That does not mean that persistence logic is littered within my domain.