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IBM Smart Analytics vs Weka comparison

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IBM Smart Analytics

Read 1 IBM Smart Analytics review
78 views|31 comparisons
100% willing to recommend
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Weka

Read 14 Weka reviews
3,678 views|1,726 comparisons
78% willing to recommend
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Buyer's Guide
Data Mining
March 2024
Executive Summary

We performed a comparison between IBM Smart Analytics and Weka based on real PeerSpot user reviews.

Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining.
To learn more, read our detailed Data Mining Report (Updated: March 2024).
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Featured Review
Randall Hinds
Adding LA on top of a well deployed & working Tivoli Framework opens up a flood of native logged data points. The...
The IBM monitoring software products (Tivoli) are not easy to instrument and require many separate pieces of the total framework to be... Read more →
Kh.Ehsanur Rahman
Can plug in any machine learning algorithm and it works perfectly but needs better visualization
Weka is a very nice tool, it needs very small requirements. If I want to implement something in Python, I need a lot of memory and space but Weka... Read more →
Quotes From Members
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Pricing and Cost Advice
Information Not Available
  • "Currently, I am using an open-source version so I don't know much about the price of this solution."
  • "The solution is free and open-source."
  • "As far as I know, Weka is a freeware tool, and I am not aware if they have an online solution or if it is a commercial product."
  • "We use the free version now. My faculty is very small."

    • More Weka Pricing and Cost Advice →

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    What do you like most about Weka?
    Top Answer:It is a stable product.
    Read all 13 answers   →
    What is your experience regarding pricing and costs for Weka?
    Top Answer:Weka is free and open-source software. That is why I used it over KNIME.
    Read all 8 answers   →
    What needs improvement with Weka?
    Top Answer:I haven't found it particularly useful. It lacks state-of-the-art algorithms and impressive outcomes. While it might offer insights for basic warehouse tasks, it falls short of deeper understanding… more »
    Read all 13 answers   →
    Ranking
    13th
    out of 18 in Data Mining
    Views
    78
    Comparisons
    31
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    2nd
    out of 18 in Data Mining
    Views
    3,678
    Comparisons
    1,726
    Reviews
    7
    Average Words per Review
    518
    Rating
    7.9
    Comparisons
    Also Known As
    Smart Analytics
    Learn More
    IBM
    Weka
    Video Not Available
    Overview
    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.
    Sample Customers
    WIdO AOK, EEKA Fashion, SSGC, GS Retail
    Information Not Available
    Top Industries
    No Data Available
    VISITORS READING REVIEWS
    University18%
    Educational Organization14%
    Computer Software Company10%
    Comms Service Provider7%
    Company Size
    No Data Available
    REVIEWERS
    Small Business70%
    Midsize Enterprise10%
    Large Enterprise20%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise18%
    Large Enterprise63%
    Buyer's Guide
    Data Mining
    March 2024
    Download Free Report
    Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining. Updated: March 2024.
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    767,319 professionals have used our research since 2012.

    IBM Smart Analytics is ranked 13th in Data Mining while Weka is ranked 2nd in Data Mining with 14 reviews. IBM Smart Analytics is rated 7.0, while Weka is rated 7.6. The top reviewer of IBM Smart Analytics writes "Adding LA on top of a well deployed & working Tivoli Framework opens up a flood of native logged data points. The visual presentation layer of LA is less than cutting edge". On the other hand, the top reviewer of Weka writes "Open source, good for basic data mining use cases except for the visualization results". IBM Smart Analytics is most compared with , whereas Weka is most compared with KNIME, IBM SPSS Statistics, IBM SPSS Modeler, Oracle Advanced Analytics and SAS Analytics.

    See our list of best Data Mining vendors.

    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.