If you're interested in open source softwares: Weka might be a good choice in case you are going to deal with classification problems and you're a Java developer. Still talking about open source solutions, R is even more complete (there are good packages for association rules, classification, clustering, regression, time series), but, of course, you need to be an R developer.
Among the commercial tools, some distributions of SQL Server offer embedded data mining algorithms. SAS miner is another popular tool. You can get plenty of information at http://kdnuggets.com
If you're interested in open source softwares: Weka might be a good choice in case you are going to deal with classification problems and you're a Java developer. Still talking about open source solutions, R is even more complete (there are good packages for association rules, classification, clustering, regression, time series), but, of course, you need to be an R developer.
Among the commercial tools, some distributions of SQL Server offer embedded data mining algorithms. SAS miner is another popular tool. You can get plenty of information at http://kdnuggets.com
Nothing really beats R these days, though there are good SAS codes around. But R is ubiquitous for a reason: there are useful packages for almost anything that's published.
I highly recommend Watson (IBM product). It is amazing!
http://www.ibm.com/smarterplanet/us/en/ibmwatson/what-is-watson.html
Some of them, (that I use):
Python is great, try ANACONDA
WEKA
HeuristicLab
KEEL
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