Altair RapidMiner vs KNIME Business Hub vs SAS Enterprise Miner comparison

Altair and Knime are both solutions in the Data Science Platforms category. Altair is ranked #8 with an average rating of 8.3, while Knime is ranked #3 with an average rating of 7.9. Altair holds a 4.2% mindshare in Data Science Platforms, compared to Knime’s 6.8% mindshare. Additionally, 96% of Altair users are willing to recommend the solution, compared to 94% of Knime users who would recommend it.

Altair RapidMiner

Read 24 Altair RapidMiner reviews

4,558 Views
3,874 Comparison Views

96% willing to recommend

KNIME Business Hub

Read 60 KNIME Business Hub reviews

8,206 Views
5,908 Comparison Views

94% willing to recommend

SAS Enterprise Miner

Read 13 SAS Enterprise Miner reviews

1,291 Views
1,007 Comparison Views

93% willing to recommend

Altair RapidMiner

KNIME Business Hub

SAS Enterprise Miner

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Altair RapidMiner, KNIME Business Hub, and SAS Enterprise Miner based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Knime and others in Data Science Platforms.

To learn more, read our detailed Data Science Platforms Report (Updated: February 2026).

Buyer's Guide

Data Science Platforms

February 2026

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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:

Mindshare comparison

As of March 2026, in the Data Science Platforms category, the mindshare of Altair RapidMiner is 4.2%, down from 7.8% compared to the previous year. The mindshare of KNIME Business Hub is 6.8%, down from 11.6% compared to the previous year. The mindshare of SAS Enterprise Miner is 1.7%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Mindshare Distribution
Product	Mindshare (%)
KNIME Business Hub	6.8%
Altair RapidMiner	4.2%
SAS Enterprise Miner	1.7%
Other	87.3%

Data Science Platforms

Featured Reviews

VictorSantos

Professor at Instituto Superior de Contabilidade e Administraçao de Coimbra

Utilize intuitive CRISP model support and predictive analytics features for effective data analysis

Altair RapidMiner is appreciated for its ease of use and the CRISP data mining model it supports, covering steps like data preparation, data understanding, and business understanding. The tool’s auto model feature is excellent as it allows simulation of models to select the best one. It is useful for predictive analytics with community support for model adjustments. I also find handling complex datasets promising, although there's a need for improvement with generative AI adaptation.

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DanieleGentile

BI Analyst at a photography company with 11-50 employees

Enables fast project development with efficient workflow modifications and promising features while offering modularity and reusability

KNIME is simple and allows for fast project development due to its reusability. I appreciate the ability to make improvements or modifications in existing workflows. Although I have not yet used the forecasting and customer profiling features, I find them promising. Another effective feature is the ability to use GET request objects to retrieve data from websites or APIs. This makes iterative steps easy to manage. It is more elastic and modern compared to SAP Data Services, allowing node creation and regrouping components or steps for reuse in different projects.

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reviewer1352853

Executive Head of analytics at a retailer with 5,001-10,000 employees

A stable product that is easy to deploy and can be used for structured and unstructured data mining

We use the solution for predictive analytics to do structured and unstructured data mining I like the way the product visually shows the data pipeline. The product must provide better integration with cloud-native technologies. I have been using the solution for 20 years. The product is very…

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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

"It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive."

"Altair RapidMiner is easy to use and intuitive with no coding required, making it a low code tool."

"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."

"The solution is very intuitive and powerful."

"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."

"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."

"I've been using a lot of components from the Strategic Extension and Python Extension."

More Altair RapidMiner pros

"The product is open-source and therefore free to use."

"It also has very good fundamental machine learning. It has decision trees, linear regression, and neural nets. It has a lot of text mining facilities as well. It's fairly fully-featured."

"KNIME is fast and the visualization provides a lot of clarity. It clarifies your thinking because you can see what's going on with your data."

"I've tried to utilize KNIME to the fullest extent possible to replace Excel."

"It provides very fast problem solving and I don't need to do much coding in it. I just drag and drop."

"KNIME is more intuitive and easier to use, which is the principal advantage."

"Overall KNIME serves its purpose and does a good job."

"It has allowed us to easily implement advanced analytics into various processes."

More KNIME Business Hub pros

"I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks."

"Good data management and analytics."

"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."

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

"The setup is straightforward. Deployment doesn't take more than 30 minutes."

"he solution is scalable."

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

More SAS Enterprise Miner pros

Cons

"About twenty-five percent of my problems involve image processing, and I found RapidMiner lacking in this domain. While we work on OCR and similar tasks, RapidMiner hasn't been as engaged in that field as other models. Some other models also support email processing, but RapidMiner doesn't offer this feature."

"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 would like to see more integration capabilities."

"RapidMiner can improve deep learning by enhancing the features."

"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."

"RapidMiner isn't cheap. It's a complete solution, but it's costly."

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

"The price of this solution should be improved."

More Altair RapidMiner cons

"I would prefer to have more connectivity."

"KNIME's documentation is not strong."

"The overall user experience feels unpolished. In particular: Data field type conversion is a real hassle, and date fields are a hassle; documentation is pretty poor; user community is average at best."

"They should look at other vendors like Alteryx that are more user friendly and modern."

"From the point of view of the interface, they can do a little bit better."

"KNIME needs to provide more documentation and training materials, including webinars or online seminars."

"It needs more examples, use cases, and MOOC to learn, especially with respect to the algorithms and how to practically create a flow from end-to-end."

"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."

More KNIME Business Hub cons

"The initial setup is challenging if doing it for the first time."

"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."

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

"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 ease of use can be improved. When you are new it seems a bit complex."

More SAS Enterprise Miner cons

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."

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

"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'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."

"I used an educational license for this solution, which is available free of charge."

"For beginners, the free desktop version is very attractive, but the full server version can be more expensive. I have only used the free version and it offers a fair pricing system. I have been promoting it to others without any compensation or request from the company, simply because I am enthusiastic about it. I am not aware of the pricing for the server version, but it seems to be widely used."

"KNIME is a cost-effective solution because it’s free of cost."

"KNIME Business Hub is expensive for small companies."

"It is free of cost. It is GNU licensed."

"This is an open-source solution that is free to use."

"KNIME is an open-source tool, so it's free to use."

"KNIME is free as a stand-alone desktop-based platform but if you want to get a KNIME server then you can find the cost on their website."

"KNIME is a cheap product. I currently use KNIME's open-source version."

More KNIME Business Hub pricing and cost advice

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

"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."

"The solution must improve its licensing models."

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Top Industries

By visitors reading reviews

Manufacturing Company

11%

University

11%

Computer Software Company

10%

Educational Organization

Financial Services Firm

12%

University

Manufacturing Company

Educational Organization

Financial Services Firm

21%

Educational Organization

11%

Manufacturing Company

10%

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	5
Large Enterprise	8

By reviewers
Company Size	Count
Small Business	20
Midsize Enterprise	16
Large Enterprise	29

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	4
Large Enterprise	7

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. I...

See all answers

What is your experience regarding pricing and costs for RapidMiner?

I started with a trial version. We are likely to purchase a license, which may offer additional features.

See all answers

What needs improvement with RapidMiner?

Currently, I am unsure of all the AI features available in Altair RapidMiner, particularly advanced AI capabilities l...

See all answers

What do you like most about KNIME?

Since KNIME is a no-code platform, it is easy to work with.

See all answers

What is your experience regarding pricing and costs for KNIME?

I rate the product’s pricing a seven out of ten, where one is cheap and ten is expensive.

See all answers

What needs improvement with KNIME?

I have seen the potential to interact with Python, which is currently a bit limited. I am interested in the newer ver...

See all answers

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Comparisons

Dataiku vs Altair RapidMiner

Compared 9% of the time

Databricks vs Altair RapidMiner

Compared 6% of the time

Alteryx vs Altair RapidMiner

Compared 5% of the time

Tableau Enterprise vs Altair RapidMiner

Compared 4% of the time

WPS Analytics vs Altair RapidMiner

Compared 2% of the time

More Altair RapidMiner Competitors

Dataiku vs KNIME Business Hub

Compared 11% of the time

Microsoft Azure Machine Learning Studio vs KNIME Business Hub

Compared 9% of the time

Alteryx vs KNIME Business Hub

Compared 8% of the time

Microsoft Power BI vs KNIME Business Hub

Compared 7% of the time

IBM SPSS Modeler vs KNIME Business Hub

Compared 3% of the time

More KNIME Business Hub Competitors

Azure Data Lake Analytics vs SAS Enterprise Miner

Compared 12% of the time

Databricks vs SAS Enterprise Miner

Compared 6% of the time

SAS Visual Analytics vs SAS Enterprise Miner

Compared 6% of the time

Weka vs SAS Enterprise Miner

Compared 5% of the time

IBM SPSS Modeler vs SAS Enterprise Miner

Compared 5% of the time

More SAS Enterprise Miner Competitors

Product Reports

Buyer's Guide

Altair RapidMiner

March 2026

Download Altair RapidMiner product report

Buyer's Guide

KNIME Business Hub

February 2026

Download KNIME Business Hub product report

Buyer's Guide

Data Mining

February 2026

Download SAS Enterprise Miner product report

Also Known As

No data available

KNIME Analytics Platform

Enterprise Miner

Overview

Altair RapidMiner is a GUI-driven, code-free data science tool ideal for users seeking efficiency and user-friendliness, featuring automated data cleaning and versatile model support for diverse tasks.

Altair RapidMiner offers an accessible platform with drag-and-drop functionality, supporting multiple file formats to streamline data science workflows. It enables quick prototyping and integrates with APIs, Python, and R, enhancing user flexibility. Comprehensive documentation and tutorials support learning, while features like model fine-tuning and predictive analytics cater to advanced analysis. Enhancements in automation and deep learning, alongside improvements in data service integration and metadata handling, remain a focus for development.

What are the key features of Altair RapidMiner?

Code-Free Interface: Simplifies data science with GUI support.
Drag-and-Drop Functionality: Streamlines process setup.
Automated Data Cleaning: Saves time in data preparation.
Machine Learning Algorithms: Supports a wide range for various tasks.
API & Python/R Integration: Enhances flexibility for data projects.
Tutorials & Documentation: Provides robust learning resources.

What benefits and ROI can users expect?

Efficiency: Reduces time spent on data processing.
Flexibility: Offers adaptable integration options.
Scalability: Suited for both educational and business environments.
Usability: User-friendly interface encourages wider adoption.
Predictive Capabilities: Empowers advanced business analytics.

Industries such as telecom and finance utilize Altair RapidMiner for tasks like data preparation and forecasting. Universities employ it for education and research projects, while businesses apply it to areas such as financial crime management and market analysis. It assists companies in predicting customer behavior and analyzing pharmaceutical data, allowing seamless integration with other systems.

Altair

KNIME Business Hub offers a no-code interface for data preparation and integration, making analytics and machine learning accessible. Its extensive node library allows seamless workflow execution across various data tasks.

KNIME Business Hub stands out for its user-friendly, no-code platform, promoting efficient data preparation and integration, even with Python and R. Its node library covers extensive data processes from ETL to machine learning. Community support aids users, enhancing productivity with minimal coding. However, its visualization, documentation, and interface require refinement. Larger data tasks face performance hurdles, demanding enhanced cloud connectivity and library expansions for deep learning efficiencies.

What are the most important features of KNIME Business Hub?

No-Code Interface: Simplifies data preparation without coding expertise.
Node Library: Supports diverse data tasks, including ETL and machine learning.
Python and R Integration: Seamlessly connects with popular programming languages.
Automation Capabilities: Enhances workflow productivity.
Visual Workflow Tools: Offers efficient data handling with visual aids.

What benefits and ROI can users expect from KNIME Business Hub?

Increased Productivity: Streamlined data tasks reduce development time.
Community Support: Access to extensive resources and user assistance.
Cost-Effective: Robust performance even on standard hardware.
Accessible Learning Curve: Simplicity allows easy access for educational and professional use.
Enhanced Prototyping: Ideal for decision model testing.

KNIME Business Hub finds application in data transformation, cleansing, and multi-source integration for analytics and reporting. Companies utilize it for predictive modeling, clustering, classification, machine learning, and automating workflows. Its coding-free approach suits educational and professional settings, assisting industries in data wrangling, ETLs, and prototyping decision models.

Knime

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

Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG

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

Buyer's Guide

Data Science Platforms

February 2026

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