In looking at the AWS MapReduce version of HBase, it doesn't even give an option to run it on lower end hardware.
I am considering HBase as an alternative to one large table we have in MySQL which is causing problems. It's 50M rows, a pretty straight forward set of product items. The challenge is that I need to do 10+ range scans a day over about 7M items each where we check for updates. This is ideal for HBase, but hell for MySQL (a join of a 7M row table with a 50M row table is giving us fits-a-plenty). But beyond the daily range scans the actual workload on the boxes should be reasonable, just random access reads. So it doesn't seem like I should need significant memory/CPU requirements... But here's where I don't find a lot of information - as someone reasonably new to HBase (I read a book, did the examples), am I missing anything in my thinking? David
