Has anyone had any experience with MonetDB? Currently, I have a MySQL database that is growing too large, and queries are getting too slow. According to column-oriented paradigm, insertions will be slower (which I don't mind at all), but data retrieval becomes very fast. Do I stand a chance of getting more data retrieval performance just by switching to MonetDB? Is it MonetDB mature enough?
You have a chance of improving the performance of your application. The gain is, however, largely dependent on your workload, the size of your database and your hardware. MonetDB is developed/tuned under two main assumptions:
As for the maturity, there are probably more opinions on that than people inhabiting this planet. Personally, I find it mature enough but I am a member of the development team and, thus, biased. But MonetDB is a research project so if you have an interesting application we'd love to hear about it and see if we can help.
The answer of course depends on your payload but my experience so far would seem to indicate that about everything is faster in MonetDB than I've seen in MySQL. The exception would be joins, which not only seem slow, but seem completely inept at pipelining so you end up needing gobs of memory to process large ones. That said my experience with joins in MySQL hasn't exactly been stellar either, so I'm guessing your expectations may be low. If you really want good join performance, I'd probably recommend SQL Server or the like; for those other queries you mention in the follow up comments, MonetDB should be awesome.
For instance, given a table with about 2 million rows in it, I was able to range on one column (wherin there were about 800K rows in the range) and order by another column and the limited result was processed and returned in 25ms. Performance of those type of queries does seem to degrade with scale, but that should give you a taste for what you might expect at that scale.
I should caution that the optimistic concurrency model might throw off those that have only been exposed to pessimistic concurrency (most people). I'd research it before wondering why some of your commits fail under concurrent load.
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