Compare IBM Smart Analytics vs. Weka

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Read 7 Weka reviews.
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"Currently, I am using an open-source version so I don't know much about the price of this solution."

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Top Answer: 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… more »
Top Answer: I like how the classification and prediction work. We should use Weka because the path is very big and much better. If there are a lot more lines of code, then we should use another language.
Top Answer: The product is good, but I would like it to work with big data. I know it has a Spark integration they could use to do analysis in clusters, but it's not so clear how to use it. In this case, it would… more »
out of 16 in Data Mining
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out of 16 in Data Mining
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The IBM Smart Analytics System offers a wide range of analytics capabilities, enabling you to consume information in the most digestible format, gain insight, and make smarter decisions today and into the future.
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
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Sample Customers
WIdO AOK, EEKA Fashion, SSGC, GS Retail
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Top Industries
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Comms Service Provider34%
Educational Organization13%
Computer Software Company11%
Financial Services Firm6%
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: June 2021.
511,307 professionals have used our research since 2012.

IBM Smart Analytics is ranked 13th in Data Mining while Weka is ranked 5th in Data Mining with 7 reviews. IBM Smart Analytics is rated 0.0, while Weka is rated 7.2. On the other hand, the top reviewer of Weka writes "Relatively stable with excellent accuracy and there's no need to know coding". IBM Smart Analytics is most compared with , whereas Weka is most compared with KNIME, IBM SPSS Statistics, IBM SPSS Modeler and SAS Analytics.

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We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.