IBM SPSS Modeler vs TIBCO Statistica comparison

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IBM Logo
3,065 views|2,425 comparisons
85% willing to recommend
TIBCO Logo
651 views|481 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between IBM SPSS Modeler and TIBCO Statistica based on real PeerSpot user reviews.

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To learn more, read our detailed Data Science Platforms Report (Updated: April 2024).
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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Some basic form of feature engineering for classification models. This really quickens the model development process.""It's a very organized product. It's easy to use.""The supervised models are valuable. It is also very organized and easy to use.""A lot of jobs that are stuck in Excel due to the huge numbers of rows are tackled pretty quickly.""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 very easy to use. The drag and drop feature makes it very easy when you are building and testing the streams. That's very useful.""New algorithms are added into every version of Modeler, e.g., SMOTE, random forest, etc. The Derive node is used for the syntax code to derive the data.""In the solution, I like the virtualization of data flow since it shows what goes where, which is mostly the strength of the tool."

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"One of the best features of TIBCO Statistica is its block-based solution building."

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Cons
"Dimension reduction should be classified separately.""Regarding visual modeling, it is not the biggest strength of the product, although from what I hear in the latest release it's going to be a lot stronger. That, to me, has always been the biggest flaw in using this. It's very difficult to get good visualization.""It's not as user friendly as it could be.""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.""We have run into a few problems doing some entity matching/analytics.""The product does not have a search function for tags.""Requires more development.""Time Series or forecasting needs to be easier. It is a very important feature, and it should be made easier and more automated to use. For instance, for logistic regression, binary or multinomial is used automatically based on the type of the target variable. I wish they can make Time Series easier to use in a similar way."

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"TIBCO Statistica could improve by expanding its neural network capabilities to support multi-layer networks, addressing user demands for advanced tasks like image analysis."

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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."
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    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 »
    Top Answer:One of the best features of TIBCO Statistica is its block-based solution building.
    Top Answer:TIBCO Statistica offers a basic desktop certificate at a reasonable cost. However, the more advanced options, like network licenses for concurrent users, can become quite expensive. This creates a… more »
    Top Answer:TIBCO Statistica could improve by expanding its neural network capabilities to support multi-layer networks, addressing user demands for advanced tasks like image analysis. I also find the user… more »
    Ranking
    12th
    Views
    3,065
    Comparisons
    2,425
    Reviews
    6
    Average Words per Review
    372
    Rating
    7.3
    17th
    Views
    651
    Comparisons
    481
    Reviews
    1
    Average Words per Review
    284
    Rating
    8.0
    Comparisons
    Also Known As
    SPSS Modeler
    Quest Statistica, Dell Statistica
    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


    TIBCO Statistica is a flexible analytics system, which allows users to: create analytic workflows that are packaged and published to business users, explore interactively and visualize problems and create and deploy statistical, predictive, data mining, machine learning, forecasting, optimization, and text analytic models. TIBCO Statistica advanced analytics and data science platform helps you to Embed Analytics Everywhere. TIBCO Statistica capabilities: Predictive Analytics, Provide broad access and data preparation everywhere, including for databases, cloud, and Apache Hadoop sources. Native Distributed Analytical Architecture (NDAA), Real-time Big-data Answers, Security and governance and Statistica works with R, Python, Scala scripts in-database or at the edge.
    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
    Danske Bank
    Top Industries
    REVIEWERS
    University23%
    Financial Services Firm17%
    Manufacturing Company14%
    Government9%
    VISITORS READING REVIEWS
    Educational Organization16%
    Financial Services Firm10%
    Computer Software Company9%
    University8%
    VISITORS READING REVIEWS
    University17%
    Educational Organization17%
    Comms Service Provider7%
    Hospitality Company6%
    Company Size
    REVIEWERS
    Small Business19%
    Midsize Enterprise10%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise14%
    Large Enterprise64%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise16%
    Large Enterprise65%
    Buyer's Guide
    Data Science Platforms
    April 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: April 2024.
    769,630 professionals have used our research since 2012.

    IBM SPSS Modeler is ranked 12th in Data Science Platforms with 38 reviews while TIBCO Statistica is ranked 17th in Data Science Platforms with 1 review. IBM SPSS Modeler is rated 8.0, while TIBCO Statistica is rated 8.0. 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 TIBCO Statistica writes "Provides versatility in analysis and problem-solving". IBM SPSS Modeler is most compared with KNIME, Microsoft Power BI, RapidMiner, IBM SPSS Statistics and Alteryx, whereas TIBCO Statistica is most compared with IBM SPSS Statistics, TIBCO Data Science and SAS Predictive Analytics.

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    We monitor all Data Science Platforms 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.