but from what I read in the recent news, most of the big sites are more and more abandoning the RDBMS systems in favor in most of cases of hand made solutions. Sometimes completely RRDBMS-less, sometimes a mix.
What I'm saying is that current RDBMS can't handle very large data sets in a real-time environment.
F.e. I was recently doing experiments with a very simple table and 10_000_000 records which fit into memory. At the moment I decided to use something else which is not lookup, let say GROUP BY, execution time is a minutes instead of milliseconds.

That is why I was thinking if you are doing this uplifting in a domain "language structures", it would be easier I think to think of more efficient caching schemes, shredding and similar techniques, so you can stay in "millisecond range" easier even for very large datasets.
Mind me this is just thought not some conclusion on which is best :). It is very hard to test such things in large scale and of course the requirements of every apps are different.
http://radar.oreilly.com/archives/2006/04/database_war_stories_5_craigsl.html
Look at the links at the end of the article too

In reply to Re^2: Integrated non-relational databases ? by rootcho
in thread Integrated non-relational databases ? by rootcho

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