Top 8 Data Mining Tools

KNIMEIBM SPSS StatisticsIBM SPSS ModelerSAS Enterprise MinerWekaSAS AnalyticsOracle Advanced AnalyticsIBM Watson Explorer
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    KNIME is quite scalable, which is one of the most important features that we found.It can handle an unlimited amount of data, which is the advantage of using Knime.
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    You can quickly build models because it does the work for you.Capability analysis is one of the main and valuable functions. We also do some hypothesis testing in Minitab and summary stats. These are the functions that we find very useful.
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  4. The supervised models are valuable. It is also very organized and easy to use. You take two quarters and compare them and this tool is ideal because it gives you a lot of visibility on the before and after.
  5. I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks.
  6. There are many options where you can fill all of the data pre-processing options that you can implement when you're importing the data. You can also normalize the data and standardize it in an easier way.
  7. It's very easy to use once you learn it.The technical support is okay.
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  9. The dashboard interface is intuitive and the user is able to interact with it to receive good results from the analytic.Ability to pull together multiple sources of information.
  10. I have found the auto-generated document very useful as well as the main keywords that are highlighted, which are used for the search functionality within IBM Watson Explorer.
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: May 2021.
502,104 professionals have used our research since 2012.