Compare IBM SPSS Statistics vs. RapidMiner

IBM SPSS Statistics is ranked 10th in Data Science Platforms with 5 reviews while RapidMiner is ranked 4th in Data Science Platforms with 6 reviews. IBM SPSS Statistics is rated 8.0, while RapidMiner is rated 8.6. 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 RapidMiner writes "Efficient, ease to use, and is a good teaching tool for data science and machine learning". IBM SPSS Statistics is most compared with IBM SPSS Modeler, MathWorks Matlab and Weka, whereas RapidMiner is most compared with KNIME, Alteryx and H2O.ai.
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IBM SPSS Statistics Logo
3,443 views|2,839 comparisons
RapidMiner Logo
9,084 views|7,631 comparisons
Most Helpful Review
Find out what your peers are saying about Alteryx, Knime, IBM and others in Data Science Platforms. Updated: November 2019.
384,324 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.

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The most valuable features are the Binary classification and Auto Model.RapidMiner is very easy to use.The documentation for this solution is very good, where each operator is explained with how to use it.I like not having to write all solutions from code. Being able to drag and drop controls, enables me to focus on building the best model, without needing to search for syntax errors or extra libraries.Using the GUI, I can have models and algorithms drag and drop nodes.RapidMiner for Windows is an excellent graphical tool for data science.

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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.

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RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models.I would like to see all users have access to all of the deep learning models, and that they can be used easily.The price of this solution should be improved.The server product has been getting updated and continues to be better each release. When I started using RapidMiner, it was solid but not easy to set up and upgrade.Improve the online data services.

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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.

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I used an educational license for this solution, which is available free of charge.

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Ranking
10th
Views
3,443
Comparisons
2,839
Reviews
3
Average Words per Review
429
Avg. Rating
8.0
4th
Views
9,084
Comparisons
7,631
Reviews
5
Average Words per Review
266
Avg. Rating
8.6
Top Comparisons
Compared 11% of the time.
Compared 35% of the time.
Compared 21% of the time.
Compared 6% of the time.
Also Known As
SPSS Statistics
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IBM
RapidMiner
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.

RapidMiner's unified data science platform accelerates the building of complete analytical workflows - from data prep to machine learning to model validation to deployment - in a single environment, improving efficiency and shortening the time to value for data science projects.

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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-TILDAPayPal, Deloitte, eBay, Cisco, Miele, Volkswagen
Top Industries
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VISITORS READING REVIEWS
Software R&D Company21%
Energy/Utilities Company12%
Comms Service Provider10%
Manufacturing Company10%
Find out what your peers are saying about Alteryx, Knime, IBM and others in Data Science Platforms. Updated: November 2019.
384,324 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.
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