IBM SPSS Statistics vs TIBCO Data Science comparison

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Executive Summary

We performed a comparison between IBM SPSS Statistics and TIBCO Data Science based on real PeerSpot user reviews.

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To learn more, read our detailed Data Science Platforms Report (Updated: March 2024).
765,386 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
"You can quickly build models because it does the work for you.""They have many existing algorithms that we can use and use effectively to analyze and understand how to put our data to work to improve what we do.""IBM SPSS Statistics depends on AI.""The most valuable feature is the user interface because you don't need to write code.""It offers very good visualization.""The solution has numerous valuable features. We particularly like custom tabs. It's very useful. We end up analyzing a lot of software data, so features related to custom tabs are really helpful.""SPSS can handle whatever you throw at it, whether your data set contains 10,000, 100,000, or a million objects. It's like the heavy artillery of analytical tools.""It has helped our analyst unit deliver work with more transparency and confidence, given that we can always view the dataset in totality, after each step of data transformation."

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"The idea that you don't have to generate reports each day but they are sent automatically is great.""We like the way we can drill down into each report to get back data on each project. From the portfolio level, I can see what is happening on it. That is a really important feature. I can look at indirect costs, for example, which are hitting each CIO portfolio. It's good to be able to see actual resources in terms of time as well as cost.""The most valuable feature is the ease of setting up visualizations.""The most valuable feature is the performance."

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Cons
"The statistics should be more self-explanatory with detailed automated reports.""This solution is not suitable for use with Big Data.""Improvements are needed in the user interface, particularly in terms of user-friendliness.""Needs more statistical modelling functions.""I'd like to see them use more artificial intelligence. It should be smart enough to do predictions and everything based on what you input.""The technical support should be improved.""I would like SPSS to improve its integration with other data-filing IBM tools. I also think its duration with data, utilization, and graphics could be better.""Perhaps in terms of visualization. It's not really easy to do some data visualization, just simple, descriptive analysis in SPSS. I think that could be an area for improvement."

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"The scripting for customization could be improved.""In terms of performance, I can see there are some issues when you are working with big data. When we are taking it from the Data Lake, we have a lot of issues.""Additional templates would help to get things moving more quickly in terms of getting the reports out.""I would like the visualization for the map of countries to be more easily configurable."

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Pricing and Cost Advice
  • "If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer."
  • "More affordable training for new staff members."
  • "Our licence is on a yearly renewal basis. While pricing is not the primary concern in our evaluation, as products are assessed by whether they can meet our user needs and expertise, the cost can be a limiting factor in the number of licences we procure."
  • "We think that IBM SPSS is expensive for this function."
  • "The price of this solution is a little bit high, which was a problem for my company."
  • "The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."
  • "It's quite expensive, but they do a special deal for universities."
  • "The price of IBM SPSS Statistics could improve."
  • More IBM SPSS Statistics Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The software offers consistency across multiple research projects helping us with predictive analytics capabilities.
    Top Answer:While the pricing of the product may be higher, the accompanying service and features justify the investment. However, to address pricing concerns, I suggest customizing pricing options for developing… more »
    Top Answer:In some cases, the product takes time to load a large dataset. They could improve this particular area.
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    7th
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    3,773
    Comparisons
    2,318
    Reviews
    8
    Average Words per Review
    537
    Rating
    8.6
    25th
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    509
    Comparisons
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    Also Known As
    SPSS Statistics
    Alpine Data Chorus
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    Overview

    IBM SPSS Statistics is a powerful data mining solution that is designed to aid business leaders in making important business decisions. It is designed so that it can be effectively utilized by organizations across a wide range of fields. SPSS Statistics allows users to leverage machine learning algorithms so that they can mine and analyze data in the most effective way possible.

    IBM SPSS Statistics Benefits

    Some of the ways that organizations can benefit by choosing to deploy IBM SPSS Statistics include:


    • Ease of use. SPSS Statistics enables users to simply and intuitively take control of their statistical needs. The solution is designed so that analysts who do not know how to code can easily make full use of the various tools and capabilities that SPSS Statistics has to offer. Its command language is so straightforward that it does not require users to undergo special training before they use it.


    • Comprehensive and flexible build. SPSS Statistics is designed to be both a comprehensive and highly flexible analytics solution. It enables users to utilize a variety of integrations that make it easy for users to add features that they might feel they are missing.


    • Automation. SPSS Statistics makes it simple for users to automate basic tasks that they might otherwise devote too much time worrying about. Tasks like calculation or data gathering can be delegated to the system while more conceptual tasks like data analysis are given to an organization’s analysts to handle. 


    IBM SPSS Statistics Features


    • Intuitive user interface. SPSS Statistics enables users to deploy an intuitive interface that makes the process of system management simple. Among the other components of this interface is a drag-and-drop feature that makes analysis and management possible for anyone who wants to use it.


    • Advanced data visualizations. Analysts that employ SPSS Statistics gain access to tools that empower them to create and export data visualizations. These visualizations can be formatted in many different ways depending on what the user needs.


    • Local data storage. SPSS Statistics has the ability to securely store data on a user’s computer. This enables them to add layers of security that would not necessarily be present if the data was stored in the cloud.


    Reviews from Real Users

    IBM SPSS Statistics is a highly effective solution that stands out when compared to many of its competitors. Two major advantages it offers are the wealth of functionalities that it provides and its high level of accessibility.

    An Emeritus Professor of Health Services Research at a university writes, "The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can in a multidimensional setup space. It's the multidimensional space facility that is most useful."

    A Director of Systems Management & MIS Operations at a university, says, “The SPSS interface is very accessible and user-friendly. It's really easy to get information from it. I've shared it with experts and beginners, and everyone can navigate it.”

    TIBCO Spotfire Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms.

    Sample Customers
    LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA
    Havas Media, Tipping Point Community, eviCore
    Top Industries
    REVIEWERS
    University46%
    Financial Services Firm17%
    Aerospace/Defense Firm4%
    Non Profit4%
    VISITORS READING REVIEWS
    University16%
    Educational Organization12%
    Comms Service Provider11%
    Computer Software Company8%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Manufacturing Company15%
    Computer Software Company15%
    Pharma/Biotech Company10%
    Company Size
    REVIEWERS
    Small Business26%
    Midsize Enterprise19%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise12%
    Large Enterprise70%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise10%
    Large Enterprise71%
    Buyer's Guide
    Data Science Platforms
    March 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: March 2024.
    765,386 professionals have used our research since 2012.

    IBM SPSS Statistics is ranked 7th in Data Science Platforms with 36 reviews while TIBCO Data Science is ranked 25th in Data Science Platforms. IBM SPSS Statistics is rated 8.0, while TIBCO Data Science is rated 7.6. The top reviewer of IBM SPSS Statistics writes "Enhancing survey analysis that provides valued insightfulness". On the other hand, the top reviewer of TIBCO Data Science writes "A straightforward initial setup and good reporting but needs better documentation". IBM SPSS Statistics is most compared with Alteryx, TIBCO Statistica, Microsoft Azure Machine Learning Studio, IBM SPSS Modeler and Weka, whereas TIBCO Data Science is most compared with TIBCO Statistica, MathWorks Matlab, Amazon SageMaker and Dataiku Data Science Studio.

    See our list of best Data Science Platforms vendors.

    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.