Compare IBM SPSS Statistics vs. TIBCO Data Science

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Most Helpful Review
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Find out what your peers are saying about IBM SPSS Statistics vs. TIBCO Data Science and other solutions. Updated: September 2020.
437,208 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
It is a modeling tool with helpful automation.The features that I have found most valuable are the Bayesian statistics and descriptive statistics.Since we are using the software as a statistical tool, I would say the best aspects of it are the regression and segmentation capabilities. That said, I've used it for all sorts of things.The solution is very comprehensive, especially compared to Minitabs, which is considered more for manufacturing. However, whatever data you want to analyze can be handled with SPSS.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.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.The most valuable feature is the user interface because you don't need to write code.It has the ability to easily change any variable in our research.

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The most valuable feature is the performance.The most valuable feature is the ease of setting up visualizations.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 idea that you don't have to generate reports each day but they are sent automatically is great.

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Cons
It could allow adding color to data models to make them easier to interpret.It could provide even more in the way of automation as there are many opportunities.I know that SPSS is a statistical tool but it should also include a little bit of analytical behavior. You can call it augmented analysis or predictive analysis. The bottom line is it should have more graphical and analytical capabilities.It would be helpful if there was better documentation on how to properly use the solution. A beginner's guide on how to use the various programming functions within the product would be so useful to a lot of people. I found that everything was very confusing at first. Having clear documentation would help alleviate that.One of the areas that should be similar to Minitabs is the use of blogs. The Minitabs blog helps users understand the tools and gives lots of practical examples. Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use. With Minitabs, you can go to the blogs and find specific articles written about various components and it's very helpful. Without blogs, we find SPSS more complicated.The solution needs more planning tools and capabilities.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.This solution is not suitable for use with Big Data.

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The scripting for customization could be improved.I would like the visualization for the map of countries to be more easily configurable.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.

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Pricing and Cost Advice
The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it.The price of this solution is a little bit high, which was a problem for my company.We think that IBM SPSS is expensive for this function.

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Questions from the Community
Top Answer: 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.
Top Answer: We have an enterprise-level license with IBM.
Top Answer: The data preparation skills need improvement. When I compare the solution with other tools or competitors, this solution needs to simplify data preparation. The solution needs more planning tools and… more »
Top Answer: The most valuable feature is the performance.
Top Answer: This solution is less expensive than Tableau, which is quite pricey.
Top Answer: The scripting for customization could be improved.
Ranking
3rd
Views
3,675
Comparisons
2,910
Reviews
13
Average Words per Review
778
Avg. Rating
7.9
16th
Views
696
Comparisons
548
Reviews
4
Average Words per Review
590
Avg. Rating
7.5
Popular Comparisons
Compared 13% of the time.
Compared 6% of the time.
Also Known As
SPSS StatisticsAlpine Data Chorus
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IBM
TIBCO
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-TILDAHavas Media, Tipping Point Community, eviCore
Top Industries
REVIEWERS
University27%
Financial Services Firm18%
Analyst Firm9%
Consumer Goods Company9%
VISITORS READING REVIEWS
Computer Software Company25%
K 12 Educational Company Or School15%
Comms Service Provider14%
Media Company7%
No Data Available
Find out what your peers are saying about IBM SPSS Statistics vs. TIBCO Data Science and other solutions. Updated: September 2020.
437,208 professionals have used our research since 2012.
IBM SPSS Statistics is ranked 3rd in Data Science Platforms with 13 reviews while TIBCO Data Science is ranked 16th 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, MathWorks Matlab, Weka, TIBCO Statistica and Alteryx, whereas TIBCO Data Science is most compared with TIBCO Statistica, Dataiku Data Science Studio, Amazon SageMaker, MathWorks Matlab and Domino Data Science Platform. See our IBM SPSS Statistics vs. TIBCO Data Science report.

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