IBM SPSS Modeler vs Teradata Analytics [EOL] comparison

Cancel
You must select at least 2 products to compare!
Comparison Buyer's Guide
Executive Summary

We performed a comparison between IBM SPSS Modeler and Teradata Analytics [EOL] 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).
765,234 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"It continues to be a very flexible platform, so that it handles R and Python and other types of technology. It seems to be growing with additional open-source movement out there on different platforms.""Compared to other tools, the product works much easier to analyze data without coding.""The most valuable features of the IBM SPSS Modeler are visual programming, you don't have to write any code, and it is easy to use. 90 to 95 percent of the use cases, you don't have to fine-tune anything. If you want to do something deeper, for example, create a better neural network, then you have to go into the features and try to fine-tune them. However, the default selection which is made by the tool, it's very practical and works well.""We are creating models and putting them into production much faster than we would if we had just gone with a strict, code-based solution, like R or Python.""It’s definitely scalable, it’s all on the same platform, it’s well integrated. I think the integration is important in terms of scalablility because essentially, having the entire suite helps a lot to scale it""I think it is the point and drag features that are the most valuable. You can simply click at the windows, and then pull up the functions.""Automated modelling, classification, or clustering are very useful.""We had an IBM Guardium service contract where we used one of their resources to help us develop our prototype. It was a good experience, but they were helpful and responsive."

More IBM SPSS Modeler Pros →

"Provides ease of formulating a solution based on SQL-like queries.""It has been fantastic for running complete data sets (no sampling required).""nPath has made journey/path analysis much easier."

More Teradata Analytics [EOL] Pros →

Cons
"We would like to see better visualizations and easier integration with Cognos Analytics for reporting.""I think mapping for geographic data would also be a really great thing to be able to use.""The challenge for the very technical data scientists: It is constraining for them.​""It is not integrated with Qlik, Tableau, and Power BI.""The platform's cloud version needs improvements.""When you are not using the product, such as during the pandemic where we had worldwide lockdowns, you still have to pay for the licensing.""The biggest issue with the visual modeling capability is that we can't extract the SQL code under the hood.""Customer support is hard to contact."

More IBM SPSS Modeler Cons →

"I would like to see more/better documentation. They also need to enhance analytic/data science algorithms.""We have struggled with uptime. Some of the features need to be updated.""I have found some problems with the figures depicted on graphs and figures shown, like scores which could not be negative but which were depicted as such."

More Teradata Analytics [EOL] Cons →

Pricing and Cost Advice
  • "Having in mind all four tools from Garner’s top quadrant, the pricing of this tool is competitive and it reflects the quality that it offers."
  • "If you are in a university and the license is free then you can use the tool without any charges, which is good."
  • "It is a huge increase to time savings."
  • "The scalability was kind of limited by our ability to get other people licenses, and that was usually more of a financial constraint. It's expensive, but it's a good tool."
  • "When you are close to end of quarter, IBM and its partners can get you 60% to 70% discounts, so literally wait for the last day of the quarter for the best prices. You may feel like you are getting robbed if you can't receive a good discount."
  • "It got us a good amount of money with quick and efficient modeling."
  • "$5,000 annually."
  • "This tool, being an IBM product, is pretty expensive."
  • More IBM SPSS Modeler Pricing and Cost Advice →

    Information Not Available
    report
    Use our free recommendation engine to learn which Data Mining solutions are best for your needs.
    765,234 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:Compared to other tools, the product works much easier to analyze data without coding.
    Top Answer:The platform's cloud version needs improvements. The process to access workflow could be user-friendly. It could be easier to log in and manage security levels. Additionally, it needs to be more… more »
    Ask a question

    Earn 20 points

    Ranking
    4th
    out of 18 in Data Mining
    Views
    1,782
    Comparisons
    1,420
    Reviews
    6
    Average Words per Review
    372
    Rating
    7.3
    Unranked
    In Data Mining
    Comparisons
    Also Known As
    SPSS Modeler
    Teradata Aster Analytics, Aster Analytics
    Learn More
    IBM
    Video Not Available
    Overview

    IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions from the desktop or within operational systems.

    Buy
    https://www.ibm.com/products/spss-modeler/pricing
     
    Sign up for the trial
    https://www.ibm.com/account/reg/us-en/signup?formid=urx-19947


    Teradata Aster® Analytics Portfolio provides a suite of ready-to-use, multi-genre advanced analytics functions that empowers business users to uncover and operationalize non-intuitive insights. Teradata Aster Analytics includes the Aster Database, Aster Client and the Aster Portfolio that consists of SQL, SQL-MapReduce and Graph functions for multi-genre advanced analytics. These functions provide everything from data acquisition and preparation to analytic modeling and visualization.

    Sample Customers
    Reisebªro Idealtours GmbH, MedeAnalytics, Afni, Israel Electric Corporation, Nedbank Ltd., DigitalGlobe, Vodafone Hungary, Aegon Hungary, Bureau Veritas, Brammer Group, Florida Department of Juvenile Justice, InSites Consulting, Fortis Turkey
    Information Not Available
    Top Industries
    REVIEWERS
    University23%
    Financial Services Firm17%
    Manufacturing Company14%
    Government9%
    VISITORS READING REVIEWS
    Educational Organization16%
    Financial Services Firm10%
    Computer Software Company9%
    University8%
    No Data Available
    Company Size
    REVIEWERS
    Small Business19%
    Midsize Enterprise10%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise13%
    Large Enterprise64%
    No Data Available
    Buyer's Guide
    Data Mining
    March 2024
    Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    IBM SPSS Modeler is ranked 4th in Data Mining with 38 reviews while Teradata Analytics [EOL] doesn't meet the minimum requirements to be ranked in Data Mining. IBM SPSS Modeler is rated 8.0, while Teradata Analytics [EOL] is rated 7.0. The top reviewer of IBM SPSS Modeler writes "Easy to use, quick to learn, and offers many ways to analyze data". On the other hand, the top reviewer of Teradata Analytics [EOL] writes "Streamlines formulating solutions based on SQL-like queries". IBM SPSS Modeler is most compared with KNIME, Microsoft Power BI, RapidMiner, IBM SPSS Statistics and Alteryx, whereas Teradata Analytics [EOL] is most compared with .

    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.