RapidMiner vs SAS Enterprise Miner comparison

RapidMiner and SAS are both solutions in the Data Science Platforms category. RapidMiner is ranked #6 with an average rating of 8.3, while SAS is ranked #18 with an average rating of 9.0. RapidMiner holds a 7.7% mindshare in Data Science Platforms, compared to SAS’s 0.7% mindshare. Additionally, 95% of RapidMiner users are willing to recommend the solution, compared to 93% of SAS users who would recommend it.

RapidMiner

Read 22 RapidMiner reviews

5,303 Views
4,199 Comparison Views

95% willing to recommend

SAS Enterprise Miner

Read 13 SAS Enterprise Miner reviews

642 Views
514 Comparison Views

93% willing to recommend

RapidMiner

SAS Enterprise Miner

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 5, 2024

SAS Enterprise Miner and RapidMiner are competing products in the realm of predictive analytics and data mining, catering to different organizational needs with unique strengths. RapidMiner holds the upper hand due to its robust features and flexibility for dynamic environments, offering a superior overall package.

Features: SAS Enterprise Miner offers advanced data processing capabilities, sophisticated statistical algorithms, and powerful integration options. RapidMiner provides an easy-to-use platform, strong data visualization, and seamless integration with open-source tools.

Room for Improvement: SAS Enterprise Miner could benefit from simplified deployment processes, improved integration with modern tools, and reduction in operational complexity. RapidMiner might improve on advanced statistical algorithms, enhance compatibility with proprietary systems, and offer more extensive training resources for beginners.

Ease of Deployment and Customer Service: SAS Enterprise Miner features a traditional deployment model, often requiring significant time and resources. RapidMiner offers cloud-based and on-premise solutions that are quicker to implement. Its support is considered more responsive and adaptable.

Pricing and ROI: SAS Enterprise Miner involves higher upfront costs but promises substantial ROI for complex solutions. RapidMiner, with lower setup expenses and strong performance, delivers high ROI by enabling rapid model development and deployment, offering value through speed and ease of use.

To learn more, read our detailed RapidMiner vs. SAS Enterprise Miner Report (Updated: January 2025).

Buyer's Guide

RapidMiner vs. SAS Enterprise Miner

January 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

RapidMiner

Ranking in Data Science Platforms

6th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Predictive Analytics (3rd)

SAS Enterprise Miner

Ranking in Data Science Platforms

18th

Average Rating

7.6

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

Data Mining (7th)

Mindshare comparison

As of February 2025, in the Data Science Platforms category, the mindshare of RapidMiner is 7.7%, up from 6.1% compared to the previous year. The mindshare of SAS Enterprise Miner is 0.7%, down from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

Featured Reviews

Rathnam Makam

Senior Technical Manager at a computer software company with 1,001-5,000 employees

A no-code tool that helps to build machine learning models

One challenge I encountered while implementing RapidMiner was the lack of documentation. Since there aren't as many users, finding resources to learn the tool was initially difficult. To overcome this hurdle, I believe RapidMiner could improve by providing more tutorials tailored for new users. I haven't explored the tool's latest version, so I'm unaware of the current features. However, I think it would be beneficial if they could enhance capabilities related to deep neural networks, provide better support for generating UI, and allow for importing and utilizing large language models.

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reviewer1447110

Senior Systems Engineer at a financial services firm with 10,001+ employees

Good technical support but too complex and not open-source

We're using Enterprise Guide simultaneously with Enterprise Miner. From my perspective, I believe that open-source analytics tools are closer to fitting our needs. We prefer open-source options like Anaconda. They offer good support and features. Anaconda also integrates well with Jupyter NET, which is important for us. Overall, on a scale from one to ten, I'd rate the solution at a five. If there were better protocols and wasn't as complex as it is, I'd rate it a bit higher.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"One of the most valuable features is the built-in data tuning feature. Once the model is built, we often struggle to increase its accuracy, but RapidMiner allows us to fine-tune variables. For Example, when working on a project, we can adjust the number of nodes or the depth of trees to see how accuracy changes. This flexibility lets us achieve higher accuracy compared to traditional automated machine-learning models"

"RapidMiner for Windows is an excellent graphical tool for data science."

"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."

"The most valuable feature of RapidMiner is that it is code free. It is similar to playing with Lego pieces and executing after you are finished to see the results. Additionally, it is easy to use and has interesting utilities when preparing the data. It has a utility to automatically launch a series of models and show the comparisons. When finished with the comparisons you can select the best one, and deploy it automatically."

"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."

"Using the GUI, I can have models and algorithms drag and drop nodes."

"RapidMiner is a no-code machine learning tool. I can install it on my local machine and work with smaller datasets. It can also connect to databases, allowing me to build models directly on the data stored there. RapidMiner offers a wider range of operators than other tools like Dataiku, making it a better option for my needs."

"RapidMiner is very easy to use."

More RapidMiner pros

"The most valuable feature is the decision tree creation."

"Good data management and analytics."

"The technical support is very good."

"he solution is scalable."

"The solution is able to handle quite large amounts of data beautifully."

"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."

"I like the way the product visually shows the data pipeline."

"The solution is very good for data mining or any mining issues."

More SAS Enterprise Miner pros

Cons

"I would appreciate improvements in automation and customization options to further streamline processes."

"In the Mexican or Latin American market, it's kind of pricey."

"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."

"Many things in the interface look nice, but they aren't of much use to the operator. It already has lots of variables in there."

"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."

"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."

"The price of this solution should be improved."

More RapidMiner cons

"Technical support could be improved."

"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."

"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."

"Virtualization could be much better."

"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."

"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."

"The product must provide better integration with cloud-native technologies."

More SAS Enterprise Miner cons

Pricing and Cost Advice

"I'm not fully aware of RapidMiner's price because we had licenses provided, but from my analysis, it's moderately priced, not too high or too low. It's worth the investment."

"The client only has to pay the licensing costs. There are not any maintenance or hidden costs in addition to the license."

"For the university, the cost of the solution is free for the students and teachers."

"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 solution is expensive for an individual, but for an enterprise/institution (purchasing bulk licenses), it is not a high price for the use that will come from it."

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

"The solution must improve its licensing models."

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Top Industries

By visitors reading reviews

University

12%

Computer Software Company

10%

Financial Services Firm

10%

Educational Organization

10%

Financial Services Firm

25%

University

12%

Manufacturing Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about RapidMiner?

RapidMiner is a no-code machine learning tool. I can install it on my local machine and work with smaller datasets. It can also connect to databases, allowing me to build models directly on the dat...

See all answers

What is your experience regarding pricing and costs for RapidMiner?

I'm not fully aware of RapidMiner's price because we had licenses provided, but from my analysis, it's moderately priced, not too high or too low. It's worth the investment.

See all answers

What needs improvement with RapidMiner?

The product must provide data-cleaning features. I could not use RapidMiner for data cleaning in one of my projects and had to use Python instead.

See all answers

What do you like most about SAS Enterprise Miner?

I like the way the product visually shows the data pipeline.

See all answers

What is your experience regarding pricing and costs for SAS Enterprise Miner?

The solution must improve its licensing models. It bundles all the products into smaller products. We can only have a subset of the functionality available according to our license. I rate the pric...

See all answers

What needs improvement with SAS Enterprise Miner?

The product must provide better integration with cloud-native technologies.

See all answers

Comparisons

KNIME vs RapidMiner

Compared 51% of the time

Dataiku vs RapidMiner

Compared 16% of the time

Alteryx vs RapidMiner

Compared 8% of the time

Tableau vs RapidMiner

Compared 8% of the time

Amazon SageMaker vs RapidMiner

Compared 1% of the time

More RapidMiner Competitors

SAS Visual Analytics vs SAS Enterprise Miner

Compared 37% of the time

IBM SPSS Modeler vs SAS Enterprise Miner

Compared 22% of the time

KNIME vs SAS Enterprise Miner

Compared 19% of the time

Microsoft Azure Machine Learning Studio vs SAS Enterprise Miner

Compared 10% of the time

More SAS Enterprise Miner Competitors

Product Reports

Buyer's Guide

RapidMiner

January 2025

Download RapidMiner product report

Buyer's Guide

Data Mining

February 2025

Download SAS Enterprise Miner product report

Also Known As

No data available

Enterprise Miner

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.

RapidMiner

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.

SAS

Sample Customers

PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen

Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare

Buyer's Guide

RapidMiner vs. SAS Enterprise Miner

January 2025

Free Report: RapidMiner vs. SAS Enterprise Miner

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