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 8.0. Altair holds a 5.0% mindshare in Data Science Platforms, compared to Knime’s 8.7% 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

4,265 Views
3,625 Comparison Views

96% willing to recommend

KNIME Business Hub

Read 60 KNIME Business Hub reviews

8,180 Views
5,808 Comparison Views

94% willing to recommend

SAS Enterprise Miner

Read 13 SAS Enterprise Miner reviews

1,059 Views
805 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: January 2026).

Buyer's Guide

Data Science Platforms

January 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 January 2026, in the Data Science Platforms category, the mindshare of Altair RapidMiner is 5.0%, down from 7.6% compared to the previous year. The mindshare of KNIME Business Hub is 8.7%, down from 11.2% compared to the previous year. The mindshare of SAS Enterprise Miner is 1.6%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Market Share Distribution
Product	Market Share (%)
KNIME Business Hub	8.7%
Altair RapidMiner	5.0%
SAS Enterprise Miner	1.6%
Other	84.7%

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

"The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."

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

"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 documentation for this solution is very good, where each operator is explained with how to use it."

"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."

"We value the collaboration and governance features because it's a comprehensive platform that covers everything from data extraction to modeling operations in the ML language. RapidMiner is competitive in the ML space."

"What I like about RapidMiner is its all-in-one nature, which allows me to prepare, extract, transform, and load data within the same tool."

More Altair RapidMiner pros

"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."

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

"What I like the most is that it works almost out of the box with Random Forest and other Forest nodes."

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

"The most valuable is the ability to seamlessly connect operators without the need for extensive programming."

"This solution is easy to use and especially good at data preparation and wrapping."

"The most useful features are the readily available extensions that speed up the work."

"We leverage KNIME flexibility in order to query data from our database and manipulate them for any ad-hoc business case, before presenting results to stakeholders."

More KNIME Business Hub pros

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

"Good data management and analytics."

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

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

"he solution is scalable."

More SAS Enterprise Miner pros

Cons

"Improve the online data services."

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

"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."

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

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

"If they could include video tutorials, people would find that quite helpful."

"It would be helpful to have some tutorials on communicating with Python."

More Altair RapidMiner cons

"System resource usage. Knime will occupy total system RAM size and other applications will hang."

"The program is not fit for handling very large files or databases (greater than 1GB); it gets too slow and has a tendency to crash easily."

"We do not have much documentation in Portuguese."

"The ability to handle large amounts of data and performance in processing need to be improved."

"KNIME could improve when it comes to large data markets."

"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."

"I wish there were more video training resources for KNIME. The current videos are very short, and most learning is text-based. Longer training sessions would be helpful, especially for complex flowchart use cases. Webinars focusing on starting projects and analyzing data would also be beneficial."

"The predefined workflows could use a bit of improvement."

More KNIME Business Hub cons

"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."

"Virtualization could be much better."

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

"The solution is much more complex than other options."

"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."

"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."

More SAS Enterprise Miner cons

Pricing and Cost Advice

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

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

"There is a Community Edition and paid versions available."

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

"We're using the free academic license just locally. I went for KNIME because they have a free academic license."

"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."

"This is a free open-source solution."

"They have different versions, but I am using the open-source one."

"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."

"I use the tool's free version."

More KNIME Business Hub pricing and cost advice

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

"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."

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Top Industries

By visitors reading reviews

Manufacturing Company

12%

University

11%

Computer Software Company

10%

Financial Services Firm

12%

University

Manufacturing Company

Educational Organization

Financial Services Firm

25%

Educational Organization

11%

Manufacturing Company

10%

University

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...

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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...

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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 12% of the time

Alteryx vs Altair RapidMiner

Compared 6% of the time

Tableau Enterprise vs Altair RapidMiner

Compared 5% of the time

Databricks vs Altair RapidMiner

Compared 5% of the time

DataRobot vs Altair RapidMiner

Compared 3% of the time

More Altair RapidMiner Competitors

Dataiku vs KNIME Business Hub

Compared 12% of the time

Microsoft Azure Machine Learning Studio vs KNIME Business Hub

Compared 9% of the time

Microsoft Power BI vs KNIME Business Hub

Compared 9% of the time

Alteryx vs KNIME Business Hub

Compared 8% of the time

SAS Analytics vs KNIME Business Hub

Compared 2% of the time

More KNIME Business Hub Competitors

SAS Visual Analytics vs SAS Enterprise Miner

Compared 8% of the time

IBM SPSS Modeler vs SAS Enterprise Miner

Compared 8% of the time

Databricks vs SAS Enterprise Miner

Compared 8% of the time

MathWorks Matlab vs SAS Enterprise Miner

Compared 7% of the time

Weka vs SAS Enterprise Miner

Compared 7% of the time

More SAS Enterprise Miner Competitors

Product Reports

Buyer's Guide

Altair RapidMiner

January 2026

Download Altair RapidMiner product report

Buyer's Guide

KNIME Business Hub

January 2026

Download KNIME Business Hub product report

Buyer's Guide

Data Mining

January 2026

Download SAS Enterprise Miner product report

Also Known As

No data available

KNIME Analytics Platform

Enterprise Miner

Overview

Altair RapidMiner is a leading platform for data science and machine learning, offering a user-friendly interface with powerful tools for predictive analytics. It supports integration with APIs, Python, and cloud services for streamlined workflow creation.

RapidMiner provides an efficient data science environment featuring drag-and-drop functionality, automation tools, and a wide array of algorithms, making it adaptable for novices and experts alike. Users benefit from easy data preparation and analysis alongside robust support from a vibrant community. Challenges include better onboarding and deep learning model accessibility, alongside calls for enhanced image processing and large language model integration.

What features make Altair RapidMiner stand out?

Data science tools: Facilitates machine learning and predictive analytics.
Code-optional GUI: Enables non-programmers to create workflows seamlessly.
Integration: Supports APIs, Python, and cloud services.
Drag-and-drop functionality: Simplifies workflow creation for users.
Algorithm variety: Offers diverse methods for data analysis.

What benefits and ROI should users consider when evaluating?

Efficiency: Saves time in data preparation and workflow automation.
Accessibility: Intuitive design aids beginners and experts.
Community: Access to extensions and collaborative resources.
Documentation: Comprehensive tutorials enhance learning.

Altair RapidMiner is extensively used in business and academia, facilitating tasks like predictive analytics, segmentation, and deployment. In education, it supports data science teaching and research, while in industries such as telecom, banking, and healthcare, it's used for data mining, decision trees, and market analysis.

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

January 2026

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