Compare RapidMiner vs. SAS Enterprise Miner

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RapidMiner Logo
9,159 views|7,363 comparisons
SAS Enterprise Miner Logo
3,654 views|2,770 comparisons
Most Helpful Review
Find out what your peers are saying about RapidMiner vs. SAS Enterprise Miner and other solutions. Updated: January 2021.
456,495 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 documentation for this solution is very good, where each operator is explained with how to use it.""RapidMiner is very easy to use.""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."

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"The setup is straightforward. Deployment doesn't take more than 30 minutes.""The solution is very good for data mining or any mining issues.""he solution is scalable.""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.""The most valuable feature is the decision tree creation.""The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them.""Good data management and analytics.""The solution is able to handle quite large amounts of data beautifully."

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Cons
"The price of this solution should be improved.""I would like to see all users have access to all of the deep learning models, and that they can be used easily.""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."

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"The user interface of the solution needs improvement. It needs to be more visual.""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 solution needs an easier interface for the user. The user experience isn't so easy for our clients.""Virtualization could be much better.""The ease of use can be improved. When you are new it seems a bit complex.""The visualization of the models is not very attractive, so the graphics should be improved.""Technical support could be improved.""While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system."

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Pricing and Cost Advice
"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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"This solution is for large corporations because not everybody can afford it."

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Questions from the Community
Top Answer: The best part of RapidMiner is efficiency.
Top Answer: I have the deep learning models on my laptop but it doesn't work very well. I think that they should make deep learning models easier. They are using deep learning models today for image processing… more »
Top Answer: The primary use case of RapidMiner is for teaching. I select data and give it to the students to clean. They use several algorithms, they compact them, they evaluate them, then give the results to me.
Top Answer: The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them.
Top Answer: The license is really expensive. This solution is for large corporations because not everybody can afford it. It is a little bit tricky because you have to buy a license for each and every component… more »
Top Answer: The visualization of the models is not very attractive, so the graphics should be improved. I would like to see the user interface improved a bit.
Ranking
7th
Views
9,159
Comparisons
7,363
Reviews
8
Average Words per Review
657
Rating
8.4
11th
Views
3,654
Comparisons
2,770
Reviews
9
Average Words per Review
391
Rating
7.4
Popular Comparisons
Compared 32% of the time.
Compared 23% of the time.
Compared 6% of the time.
Compared 2% 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
REVIEWERS
University43%
Energy/Utilities Company14%
Educational Organization14%
Engineering Company14%
VISITORS READING REVIEWS
Computer Software Company24%
Comms Service Provider19%
University10%
Government6%
VISITORS READING REVIEWS
Computer Software Company29%
Comms Service Provider9%
Financial Services Firm9%
Media Company7%
Company Size
REVIEWERS
Small Business58%
Midsize Enterprise8%
Large Enterprise33%
VISITORS READING REVIEWS
Small Business32%
Midsize Enterprise3%
Large Enterprise65%
REVIEWERS
Small Business18%
Midsize Enterprise36%
Large Enterprise45%
Find out what your peers are saying about RapidMiner vs. SAS Enterprise Miner and other solutions. Updated: January 2021.
456,495 professionals have used our research since 2012.

RapidMiner is ranked 7th in Data Science Platforms with 8 reviews while SAS Enterprise Miner is ranked 11th in Data Science Platforms with 9 reviews. RapidMiner is rated 8.4, while SAS Enterprise Miner is rated 7.4. 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 GUI, an easy initial setup, and very flexible". RapidMiner is most compared with KNIME, Alteryx, Dataiku Data Science Studio, IBM SPSS Modeler and Amazon SageMaker, whereas SAS Enterprise Miner is most compared with IBM SPSS Modeler, SAS Visual Analytics, KNIME, Amazon SageMaker and SAS Visual Data Mining and Machine Learning. See our RapidMiner vs. SAS Enterprise Miner report.

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