Compare RapidMiner vs. SAS Predictive Analytics

RapidMiner is ranked 3rd in Predictive Analytics with 8 reviews while SAS Predictive Analytics is ranked 6th in Predictive Analytics with 2 reviews. RapidMiner is rated 8.2, while SAS Predictive Analytics is rated 7.0. 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". On the other hand, the top reviewer of SAS Predictive Analytics writes "Good forecasting, reporting, and data integrity, but it needs to be more user-friendly". RapidMiner is most compared with KNIME, Alteryx and H2O.ai, whereas SAS Predictive Analytics is most compared with .
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Most Helpful Review
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Find out what your peers are saying about Alteryx, SAP, RapidMiner and others in Predictive Analytics. Updated: February 2020.
397,717 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
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 GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model.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.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.

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The most valuable features are forecasting and reporting.The most valuable feature is its flexibility and the ability to integrate with SAS.

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Cons
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.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.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.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.

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I think that this solution should be more compatible with other software, including open-source solutions.Technical support could be improved because they take too long to answer our queries.

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Pricing and Cost Advice
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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If SAS were more flexible in terms of licensing then that would be good, because it costs more than other solutions.

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Ranking
3rd
Views
9,254
Comparisons
7,709
Reviews
8
Average Words per Review
592
Avg. Rating
8.3
6th
Views
243
Comparisons
193
Reviews
2
Average Words per Review
415
Avg. Rating
7.0
Top Comparisons
Compared 34% of the time.
Compared 21% of the time.
Compared 6% of the time.
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RapidMiner
SAS
Overview

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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Offer
Learn more about RapidMiner
Learn more about SAS Predictive Analytics
Sample Customers
PayPal, Deloitte, eBay, Cisco, Miele, VolkswagenMetLife
Top Industries
VISITORS READING REVIEWS
Software R&D Company20%
University14%
Comms Service Provider13%
Manufacturing Company10%
No Data Available
Company Size
REVIEWERS
Small Business55%
Midsize Enterprise9%
Large Enterprise36%
VISITORS READING REVIEWS
Small Business24%
Midsize Enterprise2%
Large Enterprise74%
No Data Available
Find out what your peers are saying about Alteryx, SAP, RapidMiner and others in Predictive Analytics. Updated: February 2020.
397,717 professionals have used our research since 2012.
We monitor all Predictive Analytics 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.