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Altair RapidMiner vs KNIME Business Hub vs SAS Enterprise Miner comparison

 

Comparison Buyer's Guide

Executive Summary

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
ProductMindshare (%)
KNIME Business Hub6.8%
Altair RapidMiner4.2%
SAS Enterprise Miner1.7%
Other87.3%
Data Science Platforms
 

Featured Reviews

VS
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.
DG
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.
reviewer1352853 - PeerSpot reviewer
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…

Quotes from Members

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

Pros

"I've been using a lot of components from the Strategic Extension and Python Extension."
"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"
"The most valuable feature is what the product sets out to do, which is extracting information and data."
"It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive."
"It's helpful if you want to make informed decisions using data. We can take the information, tease out the attributes, and label everything. It's suitable for profiling and forecasting in any industry."
"The documentation for this solution is very good, where each operator is explained with how to use it."
"The data science, collaboration, and IDN are very, very strong."
"RapidMiner is very easy to use."
"I've never had any problems with stability."
"The product is user-friendly."
"We have been able to appreciate the considerable reduction in prototyping time."
"All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function."
"It has allowed us to easily implement advanced analytics into various processes."
"It's a very powerful and simple tool to use."
"From a user-friendliness perspective, it's a great tool."
"Overall KNIME serves its purpose and does a good job."
"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."
"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."
"Good data management and analytics."
"The solution is very good for data mining or any mining issues."
"The most valuable feature is the decision tree creation."
"The technical support is very good."
"he solution is scalable."
 

Cons

"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."
"Improve the online data services."
"I would like to see more integration capabilities."
"A great product but confusing in some way with regard to the user interface and integration with other tools."
"In the Mexican or Latin American market, it's kind of pricey."
"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."
"RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."
"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."
"The dynamic column name feature could be improved. When attempting to automate processes involving columns, such as with companies, it becomes difficult to achieve the same result when we make changes."
"KNIME doesn't handle large datasets or a high number of records well."
"I've had some problems integrating KNIME with other solutions."
"If they had a more structured training model it would be very helpful."
"The predefined workflows could use a bit of improvement."
"The most difficult part of the solution revolves around its areas concerning machine learning and deep learning."
"It's difficult to pinpoint one single feature because KNIME has so many. For starters, it's very easy to learn. You can get started with just a one-hour video. The drag-and-drop interface makes it user-friendly. For example, if you want to read an Excel file, drag the "read Excel file" node from the repository, configure it by specifying the file location, and run it. This gives you a table with all your data."
"KNIME could improve when it comes to large data markets."
"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 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 visualization of the models is not very attractive, so the graphics should be improved."
"Technical support could be improved."
"The product must provide better integration with cloud-native technologies."
"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."
 

Pricing and Cost Advice

"I used an educational license for this solution, which is available free of charge."
"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."
"The client only has to pay the licensing costs. There are not any maintenance or hidden costs in addition to the license."
"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."
"KNIME is a cheap product. I currently use KNIME's open-source version."
"The price of KNIME is quite reasonable and the designer tool can be used free of charge."
"KNIME Business Hub is expensive for small companies."
"There is no cost for using KNIME because it is an open-source solution, but you have to pay if you need a server."
"The price for Knime is okay."
"KNIME is free and open source."
"There is a Community Edition and paid versions available."
"The client versions are mostly free, and we pay only for the KNIME server version. It's not a cheap solution."
"The solution must improve its licensing models."
"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."
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Top Industries

By visitors reading reviews
University
11%
Manufacturing Company
11%
Computer Software Company
10%
Educational Organization
9%
Financial Services Firm
12%
University
9%
Manufacturing Company
9%
Educational Organization
6%
Financial Services Firm
21%
Educational Organization
11%
Manufacturing Company
10%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise5
Large Enterprise8
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise16
Large Enterprise29
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise4
Large Enterprise7
 

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...
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.
What needs improvement with RapidMiner?
Currently, I am unsure of all the AI features available in Altair RapidMiner, particularly advanced AI capabilities l...
What do you like most about KNIME?
Since KNIME is a no-code platform, it is easy to work with.
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.
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...
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Also Known As

No data available
KNIME Analytics Platform
Enterprise Miner
 

Overview

 

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
Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Knime and others in Data Science Platforms. Updated: February 2026.
883,896 professionals have used our research since 2012.