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New blog post: Questions, I get questions...
The answer is: it depends. I'm going to answer this one in public because it's a useful exercise in thinking about larger tradeoffs. The first subsidiary question I'd have to ask myself is, how much d...
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When you're working with "Big Data", performance is frequently the only question.  When a 1% improvement is ranked as a major success, 40% is worth any amount of potential long-term trouble.
If the open source version has the required functionality, I'll put up with quite a bit slower speed.   But then, I've never been put in the position of having to decide between running a million servers  with a proprietary solution or 1.4 million servers running an open source solution.
Personally, I'll take slower and open, but professionally, I have to recommend and implement what's best for my customer.  Which is why I'm stuck with integrating an Object Database into the existing pile of Oracle.
+Peter Thoenen of course, on finding that Federal standards and open source don't play well, the correct conclusion isn't to blame open source.  It's to blame Federal standards, or more precisely to blame government.  (Note that's "government", not "the government".)
I suspect +Eric Raymond would agree with me here.
+Peter Thoenen Isn't that exactly the point that Eric's article is making, though?  That open source is a factor - often a strong factor - in one's need, but not automatically an overriding one?  (Unless, of course, your initials happen to be RMS...)
+Peter Thoenen, I have to say it's not only in the OSS crowd. As a matter of fact, I'm pretty sure most "Enterprise" (and especially .NET shops) have the inverse - "If I didn't pay $$$ for it, it can't be worth anything!"
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