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    <p>At my work, we mostly do line of business apps - contract work. </p> <p>For this type of business, I'm a huge fan of ORM. About four years ago (when the ORM tools were less mature) we studied up on CSLA and rolled our own simplified ORM tool that we use in most of our applications,including some enterprise-class systems that have 100+ tables.</p> <p>We estimate that this approach (which of course includes a lot of code generation) creates a time savings of up to 30% in our projects. Seriously, it's rediculous. </p> <p>There is a small performance trade-off, but it's insubstantial as long as you have a decent understanding of software development. There are always exceptions that require flexibility.</p> <p>For instance, extremely data-intensive batch operations should still be handled in specialized sprocs if possible. You probably don't want to send 100,000 huge records over the wire if you could do it in a sproc right on the database. </p> <p>This is the type of problem that newbie devs run into whether they're using ORM or not. They just have to see the results and if they're competent, they will get it.</p> <p>What we've seen in our web apps is that usually the most difficult to solve performance bottlenecks are no longer database-related even with ORM. Rather, tey're on the front-end (browser) due to bandwidth, AJAX overhead, etc. Even mid-range database servers are incredibly powerful these days. </p> <p>Of course, other shops who work on much larger high-demand systems may have different experiences there. :) </p>
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    1. USBrian MacKay
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