Compare IBM SPSS Statistics vs. TIBCO Spotfire Data Science

IBM SPSS Statistics is ranked 10th in Data Science Platforms with 5 reviews while TIBCO Spotfire Data Science is ranked 22nd in Data Science Platforms with 2 reviews. IBM SPSS Statistics is rated 8.0, while TIBCO Spotfire Data Science is rated 7.6. The top reviewer of IBM SPSS Statistics writes "Anomaly detection, with a useful algorithm handbook, but it's not scalable". On the other hand, the top reviewer of TIBCO Spotfire Data Science writes "A straightforward initial setup and good reporting but needs better documentation". IBM SPSS Statistics is most compared with IBM SPSS Modeler, Weka and MathWorks Matlab, whereas TIBCO Spotfire Data Science is most compared with TIBCO Statistica, Dataiku Data Science Studio and KNIME.
Cancel
You must select at least 2 products to compare!
Most Helpful Review
Use TIBCO Spotfire Data Science? Share your opinion.
Find out what your peers are saying about Alteryx, Knime, IBM and others in Data Science Platforms. Updated: November 2019.
383,444 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
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.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.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.Most of the product features are good but I particularly like the linear regression analysis.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.The learning curve to using this product is not steep. The program is appropriate for those who do not have a lot of background in programming, yet have to perform basic statistical analysis.

Read more »

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.

Read more »

Cons
Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance.The statistics should be more self-explanatory with detailed automated reports.Technical support needs some improvement, as they do not respond as quickly as we would like.I think the visualization and charting should be changed and made easier and more effective.Needs more statistical modelling functions.

Read more »

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.

Read more »

Pricing and Cost Advice
We think that IBM SPSS is expensive for this function.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.

Read more »

Information Not Available
report
Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
383,444 professionals have used our research since 2012.
Ranking
10th
Views
3,443
Comparisons
2,839
Reviews
3
Average Words per Review
429
Avg. Rating
8.0
22nd
Views
497
Comparisons
387
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 11% of the time.
Compared 13% of the time.
Also Known As
SPSS StatisticsAlpine Data Chorus
Learn
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.

Offer
Learn more about IBM SPSS Statistics
Learn more about TIBCO Spotfire Data Science
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
Find out what your peers are saying about Alteryx, Knime, IBM and others in Data Science Platforms. Updated: November 2019.
383,444 professionals have used our research since 2012.
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.
Sign Up with Email