Compare IBM SPSS Statistics vs. RapidMiner

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IBM SPSS Statistics Logo
4,039 views|3,128 comparisons
RapidMiner Logo
8,868 views|6,948 comparisons
Most Helpful Review
Find out what your peers are saying about IBM SPSS Statistics vs. RapidMiner and other solutions. Updated: May 2021.
511,607 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 documentation for this solution is very good, where each operator is explained with how to use it.""The most valuable features are the Binary classification and Auto Model.""The most valuable feature is what the product sets out to do, which is extracting information and data.""The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS.""Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations.""The best part of RapidMiner is efficiency.""The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model.""RapidMiner is very easy to use."

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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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"The price of this solution should be improved.""RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models.""A great product but confusing in some way with regard to the user interface and integration with other tools.""It would be helpful to have some tutorials on communicating with Python.""The visual interface could use something like the-drag-and-drop features which other products already support. Some additional features can make RapidMiner a better tool and maybe more competitive.""I think that they should make deep learning models easier.""The biggest problem, not from a platform process, but from an avoidance process, is when you work in a heavily regulated environment, like banking and finance. Whenever you make a decision or there is an output, you need to bill it as an avoidance to the investigator or to the bank audit team. If you made decisions within this machine learning model, you need to explain why you did so. It would better if you could explain your decision in terms of delivery. However, this is an issue with all ML platforms. Many companies are working heavily in this area to help figure out how to make it more explainable to the business team or the regulator.""I would like to see all users have access to all of the deep learning models, and that they can be used easily."

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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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"I used an educational license for this solution, which is available free of charge.""Although we don't pay licensing fees because it is being used within the university, my understanding is that the cost is between $5,000 and $10,000 USD per year.""The client only has to pay the licensing costs. There are not any maintenance or hidden costs in addition to the license."

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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.
Top Answer: The data science, collaboration, and IDN are very, very strong.
Top Answer: The solution is considered expensive, at least in the Latin American market. They do try their best to give discounts whenever it's possible. However, the overall price is something to be cautious… more »
Top Answer: In the Mexican or Latin American market, it's kind of pricey. The pricing can be a bit high. Some of the data science platforms offer much more flexibility. Of course, there's not the same software… more »
Ranking
5th
Views
4,039
Comparisons
3,128
Reviews
15
Average Words per Review
720
Rating
7.9
7th
Views
8,868
Comparisons
6,948
Reviews
8
Average Words per Review
660
Rating
8.5
Popular Comparisons
Also Known As
SPSS Statistics
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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.

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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Learn more about IBM SPSS Statistics
Learn more about RapidMiner
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
PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen
Top Industries
REVIEWERS
University29%
Financial Services Firm21%
Aerospace/Defense Firm7%
Non Profit7%
VISITORS READING REVIEWS
Comms Service Provider26%
Computer Software Company15%
Educational Organization14%
Government6%
REVIEWERS
University43%
Energy/Utilities Company14%
Educational Organization14%
Engineering Company14%
VISITORS READING REVIEWS
Computer Software Company22%
Comms Service Provider21%
University9%
Government7%
Company Size
REVIEWERS
Small Business28%
Midsize Enterprise22%
Large Enterprise50%
REVIEWERS
Small Business62%
Midsize Enterprise8%
Large Enterprise31%
VISITORS READING REVIEWS
Small Business31%
Midsize Enterprise3%
Large Enterprise66%
Find out what your peers are saying about IBM SPSS Statistics vs. RapidMiner and other solutions. Updated: May 2021.
511,607 professionals have used our research since 2012.

IBM SPSS Statistics is ranked 5th in Data Science Platforms with 15 reviews while RapidMiner is ranked 7th in Data Science Platforms with 9 reviews. IBM SPSS Statistics is rated 8.0, while RapidMiner is rated 8.4. The top reviewer of IBM SPSS Statistics writes "Offers good Bayesian and descriptive statistics". On the other hand, the top reviewer of RapidMiner writes "Offers good tutorials that make it easy to learn and use, with a powerful feature to compare machine learning algorithms". IBM SPSS Statistics is most compared with IBM SPSS Modeler, TIBCO Statistica, Weka, MathWorks Matlab and Alteryx, whereas RapidMiner is most compared with KNIME, Alteryx, Dataiku Data Science Studio, Tableau and Microsoft Azure Machine Learning Studio. See our IBM SPSS Statistics vs. RapidMiner report.

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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.