IBM SPSS Statistics vs. RapidMiner

As of February 2019, IBM SPSS Statistics is ranked 7th in Data Science Platforms with 4 reviews vs RapidMiner which is ranked 4th in Data Science Platforms with 3 reviews. The top reviewer of IBM SPSS Statistics writes "Provides a good number of modelling techniques although data visualization is not easy to do". The top reviewer of RapidMiner writes "Features Include Cutting-Edge Data Science Tools and Algorithms". IBM SPSS Statistics is most compared with IBM SPSS Modeler, MathWorks Matlab and Weka. RapidMiner is most compared with KNIME, DataRobot and Alteryx. See our IBM SPSS Statistics vs. RapidMiner report.
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IBM SPSS Statistics Logo
5,912 views|3,629 comparisons
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8,406 views|6,554 comparisons
Most Helpful Review
Find out what your peers are saying about IBM SPSS Statistics vs. RapidMiner and other solutions. Updated: January 2019.
316,051 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:

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.Custom tables and macros: They allow us to create useful reports quickly for a broad terms of the simplicity, I think the SPSS basic can handle it.

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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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Needs more statistical modelling functions.Better documentation on how to use macros.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 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
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.More affordable training for new staff members.If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer.

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Top Comparisons
Compared 9% of the time.
Compared 33% of the time.
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Compared 9% of the time.
Also Known As
SPSS Statistics
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
Find out what your peers are saying about IBM SPSS Statistics vs. RapidMiner and other solutions. Updated: January 2019.
316,051 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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