Compare RapidMiner vs. SAS Enterprise Miner

RapidMiner is ranked 5th in Data Science Platforms with 8 reviews while SAS Enterprise Miner is ranked 12th in Data Science Platforms with 6 reviews. RapidMiner is rated 8.2, while SAS Enterprise Miner is rated 7.6. 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 Enterprise Miner writes "Good stability, very good data analysis tool pack and excellent documentation". RapidMiner is most compared with KNIME, Alteryx and H2O.ai, whereas SAS Enterprise Miner is most compared with IBM SPSS Modeler, RapidMiner and KNIME. See our RapidMiner vs. SAS Enterprise Miner report.
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RapidMiner Logo
9,254 views|7,709 comparisons
SAS Enterprise Miner Logo
4,615 views|3,486 comparisons
Most Helpful Review
Find out what your peers are saying about RapidMiner vs. SAS Enterprise Miner and other solutions. Updated: January 2020.
397,983 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 feature is that you can use multiple algorithms for creating models and then you can compare the results between them.The most valuable feature is the decision tree creation.Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic.he solution is scalable.The solution is very good for data mining or any mining issues.The setup is straightforward. Deployment doesn't take more than 30 minutes.

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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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The visualization of the models is not very attractive, so the graphics should be improved.The ease of use can be improved. When you are new it seems a bit complex.Virtualization could be much better.The solution needs an easier interface for the user. The user experience isn't so easy for our clients.The solution is very stable, but we do have some problems with discrepancies involving SAS not matching with the latest Java versions. It's not stable in cases where SAS tries to run on a different version because SAS doesn't connect with the latest Java update. Once a month we need to restart systems from scratch.The user interface of the solution needs improvement. It needs to be more visual.

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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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This solution is for large corporations because not everybody can afford it.

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Ranking
5th
Views
9,254
Comparisons
7,709
Reviews
8
Average Words per Review
592
Avg. Rating
8.3
12th
Views
4,615
Comparisons
3,486
Reviews
5
Average Words per Review
375
Avg. Rating
7.4
Top Comparisons
Compared 34% of the time.
Compared 21% of the time.
Compared 6% of the time.
Compared 12% of the time.
Compared 8% of the time.
Also Known As
Enterprise Miner
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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.

SAS Enterprise Miner is a solution to create accurate predictive and descriptive models on large volumes of data across different sources in the organization. SAS Enterprise Miner offers many features and functionalities for the business analysts to model their data. Some of the business applications are for detecting fraud, minimizing risk, resource demands, reducing asset downtime, campaigns and reduce customer attrition.
Offer
Learn more about RapidMiner
Learn more about SAS Enterprise Miner
Sample Customers
PayPal, Deloitte, eBay, Cisco, Miele, VolkswagenGenerali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
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%
REVIEWERS
Small Business25%
Midsize Enterprise50%
Large Enterprise25%
Find out what your peers are saying about RapidMiner vs. SAS Enterprise Miner and other solutions. Updated: January 2020.
397,983 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.