Compare IBM SPSS Statistics vs. RapidMiner

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IBM SPSS Statistics Logo
3,637 views|2,894 comparisons
RapidMiner Logo
9,287 views|7,585 comparisons
Most Helpful Review
Find out what your peers are saying about IBM SPSS Statistics vs. RapidMiner and other solutions. Updated: July 2020.
431,275 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
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.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.

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The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model.The best part of RapidMiner is efficiency.Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations.The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS.The most valuable feature is what the product sets out to do, which is extracting information and data.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.

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Cons
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.The design of the experience can be improved.The product should provide more ways to import data and export results that are user-friendly for high-level executives.

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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 think that they should make deep learning models easier.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.It would be helpful to have some tutorials on communicating with Python.A great product but confusing in some way with regard to the user interface and integration with other tools.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.

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Pricing and Cost Advice
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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The client only has to pay the licensing costs. There are not any maintenance or hidden costs in addition to the license.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.I used an educational license for this solution, which is available free of charge.

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431,275 professionals have used our research since 2012.
Ranking
4th
Views
3,637
Comparisons
2,894
Reviews
12
Average Words per Review
714
Avg. Rating
7.9
5th
Views
9,287
Comparisons
7,585
Reviews
8
Average Words per Review
656
Avg. Rating
8.4
Popular Comparisons
Compared 14% of the time.
Compared 34% of the time.
Compared 22% of the time.
Compared 5% of the time.
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.

Offer
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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
REVIEWERS
University27%
Financial Services Firm18%
Analyst Firm9%
Consumer Goods Company9%
VISITORS READING REVIEWS
Computer Software Company24%
K 12 Educational Company Or School17%
Comms Service Provider12%
Media Company9%
VISITORS READING REVIEWS
Computer Software Company24%
University11%
Comms Service Provider11%
Government8%
Company Size
REVIEWERS
Small Business33%
Midsize Enterprise27%
Large Enterprise40%
REVIEWERS
Small Business55%
Midsize Enterprise9%
Large Enterprise36%
VISITORS READING REVIEWS
Small Business37%
Midsize Enterprise3%
Large Enterprise60%
Find out what your peers are saying about IBM SPSS Statistics vs. RapidMiner and other solutions. Updated: July 2020.
431,275 professionals have used our research since 2012.
IBM SPSS Statistics is ranked 4th in Data Science Platforms with 12 reviews while RapidMiner is ranked 5th in Data Science Platforms with 8 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, Weka, MathWorks Matlab, TIBCO Statistica and SAS Analytics, whereas RapidMiner is most compared with KNIME, Alteryx, Dataiku Data Science Studio, IBM SPSS Modeler and Cloudera Data Science Workbench. See our IBM SPSS Statistics vs. RapidMiner report. /' We've helped 431,275 professionals make an informed decision, / with our validated product reviews, independent rankings, and peer opinions. /.promo-video-link / = link_to('See how it works.', '#', id: 'gitb-video-pane-open', / data: { :'video-link' => 'https://www.youtube.com/embed/RVO4FHQxGVM', :'video-width' => '640', :'video-height' => '360' }) /br

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