Compare IBM SPSS Statistics vs. TIBCO Data Science

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Most Helpful Review
Find out what your peers are saying about IBM SPSS Statistics vs. TIBCO Data Science and other solutions. Updated: May 2021.
512,221 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"Most of the product features are good but I particularly like the linear regression analysis.""Some of the most valuable features that we are using with some business models are machine learning algorithms, statistical models given to us by the business, and getting data from the database or text files.""The best part is that they have an algorithm handbook, so you can open it up and understand how it works, and if it is useful, this is very important.""You can find a complete algorithm in the solution and use it. You don't need to write your own algorithms for predictive analytics. That's the most valuable feature and the main one we use.""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.""It has the ability to easily change any variable in our research.""The most valuable feature is the user interface because you don't need to write code.""In terms of the features I've found most valuable, I'd say the duration, the correlation, and of course the nonparametric statistics. I use it for reliability and survival analysis, time series, regression models in different solutions, and different types of solutions."

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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
"I think the visualization and charting should be changed and made easier and more effective.""Technical support needs some improvement, as they do not respond as quickly as we would like.""The statistics should be more self-explanatory with detailed automated reports.""Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance.""The product should provide more ways to import data and export results that are user-friendly for high-level executives.""The design of the experience can be improved.""This solution is not suitable for use with Big Data.""Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them."

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"Additional templates would help to get things moving more quickly in terms of getting the reports out.""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.""I would like the visualization for the map of countries to be more easily configurable.""The scripting for customization could be improved."

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Pricing and Cost Advice
"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."

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Questions from the Community
Top Answer: You can quickly build models because it does the work for you.
Top Answer: In comparing the price of other products, SPSS Statistics is too expensive. Even when most of the universities in the Middle East have licenses for SPSS Statistics, they do not have licenses for the… more »
Top Answer: The technical support should be improved.
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Ranking
5th
Views
4,039
Comparisons
3,128
Reviews
15
Average Words per Review
720
Rating
7.9
18th
Views
825
Comparisons
605
Reviews
4
Average Words per Review
590
Rating
7.5
Popular Comparisons
Also Known As
SPSS Statistics
Alpine Data Chorus
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Overview
Your organization has more data than ever, but spreadsheets and basic statistical analysis tools limit its usefulness. IBM SPSS Statistics software can help you find new relationships in the data and predict what will likely happen next. Virtually eliminate time-consuming data prep; and quickly create, manipulate and distribute insights for decision making.

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.

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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
University29%
Financial Services Firm21%
Aerospace/Defense Firm7%
Non Profit7%
VISITORS READING REVIEWS
Comms Service Provider26%
Computer Software Company15%
Educational Organization14%
Government6%
VISITORS READING REVIEWS
Computer Software Company29%
Comms Service Provider16%
Manufacturing Company16%
Pharma/Biotech Company10%
Company Size
REVIEWERS
Small Business28%
Midsize Enterprise22%
Large Enterprise50%
No Data Available
Find out what your peers are saying about IBM SPSS Statistics vs. TIBCO Data Science and other solutions. Updated: May 2021.
512,221 professionals have used our research since 2012.

IBM SPSS Statistics is ranked 5th in Data Science Platforms with 15 reviews while TIBCO Data Science is ranked 18th in Data Science Platforms with 4 reviews. IBM SPSS Statistics is rated 8.0, while TIBCO Data Science is rated 7.6. The top reviewer of IBM SPSS Statistics writes "Offers good Bayesian and descriptive statistics". 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 IBM SPSS Modeler, TIBCO Statistica, Weka, MathWorks Matlab and SAS Enterprise Miner, whereas TIBCO Data Science is most compared with TIBCO Statistica, Dataiku Data Science Studio, KNIME, MathWorks Matlab and Alteryx. See our IBM SPSS Statistics vs. TIBCO Data Science report.

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