Use the right tool for the job. If accessing a meaningful subset of your data requires 14 joins and returns 600 attributes, your data model probably isn't going to be friendly to many ORMs. Just write the SQL, maintain the sprocs and tvfs, and give up on trying to fit everything neatly into an object-to-table mapping.
But if you're tired of rewriting the same, CRUD-like SQL over and over again, and want a common framework for accessing similarly structured data, you'll inevitably write an ORM (however minimal) and then you're facing the same problems that every ORM has attempted to solve to date.
The biggest danger in using an ORM is that it will constrain how you structure your data model. It took me a long time to become comfortable with using (materialized) views to back my models, or using multiple models for a single table. But being able to divorce my data model from my conceptual model has helped me immensely, in terms of avoiding a lot of the problems the author is talking about. Rails' ActiveRecord is surprisingly friendly when it comes to these sorts of things.
But if you're tired of rewriting the same, CRUD-like SQL over and over again, and want a common framework for accessing similarly structured data, you'll inevitably write an ORM (however minimal) and then you're facing the same problems that every ORM has attempted to solve to date.
The biggest danger in using an ORM is that it will constrain how you structure your data model. It took me a long time to become comfortable with using (materialized) views to back my models, or using multiple models for a single table. But being able to divorce my data model from my conceptual model has helped me immensely, in terms of avoiding a lot of the problems the author is talking about. Rails' ActiveRecord is surprisingly friendly when it comes to these sorts of things.