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 4.4% mindshare in Data Science Platforms, compared to Knime’s 7.5% 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

4,391 Views
3,732 Comparison Views

96% willing to recommend

KNIME Business Hub

Read 60 KNIME Business Hub reviews

8,226 Views
5,923 Comparison Views

94% willing to recommend

SAS Enterprise Miner

Read 13 SAS Enterprise Miner reviews

1,187 Views
914 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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Helped 882,961 peers since 2012

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 February 2026, in the Data Science Platforms category, the mindshare of Altair RapidMiner is 4.4%, down from 7.7% compared to the previous year. The mindshare of KNIME Business Hub is 7.5%, down from 11.4% 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	7.5%
Altair RapidMiner	4.4%
SAS Enterprise Miner	1.6%
Other	86.5%

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 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."

"The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS."

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

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

"The most valuable feature is what the product sets out to do, which is extracting information and data."

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

"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"

More Altair RapidMiner pros

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

"KNIME is very easy to handle and use. Anyone can use it, and it's easy to learn."

"It's a coding-less opportunity to use AI. This is the major value for me."

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

"It can handle an unlimited amount of data, which is the advantage of using Knime."

"It is very fast to develop solutions."

"We have found KNIME valuable when it comes to its visualization."

"I am impressed by the modularity and reusability in KNIME, especially the ability to make small adjustments to object configurations."

More KNIME Business Hub pros

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

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

"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."

"he solution is scalable."

"The technical support is very good."

"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."

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

"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."

"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."

"RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."

"I think that they should make deep learning models easier."

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

More Altair RapidMiner cons

"It's pretty straightforward to understand. So, if you understand what the pipeline is, you can use the drag-and-drop functionality without much training. Doing the same thing in Python requires so much more training. That's why I use KNIME."

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

"The pricing needs improvement."

"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."

"When deploying models on a regular system, it works fine. However, when accuracy is a priority, hyperparameter tuning is necessary. Currently, KNIME doesn't have the best tools for this which they could improve in this area."

"KNIME's documentation is not strong."

"The most difficult part of the solution revolves around its areas concerning machine learning and deep learning."

"It could input more data acquisitions from other sources and it is difficult to combine with Python."

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."

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

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

"Virtualization could be much better."

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

"The user interface of the solution needs improvement. It needs to be more visual."

"Technical support could be improved."

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."

"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."

"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."

"At this time, I am using the free version of Knime."

"With KNIME, you can use the desktop version free of charge as much as you like. I've yet to hit its limits. If I did, I'd have to go to the server version, and for that you have to pay. Fortunately, I don't have to at the moment."

"The price for Knime is okay."

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

"I use the open-source version."

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

"Scaling to the on-premises version requires a licensing fee per user that is a bit expensive in comparison to R, Python, and SAS."

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

More KNIME Business Hub pricing and cost advice

"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."

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

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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%

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 9% of the time

Databricks vs Altair RapidMiner

Compared 6% of the time

Alteryx vs Altair RapidMiner

Compared 6% of the time

Tableau Enterprise vs Altair RapidMiner

Compared 4% of the time

DataRobot vs Altair RapidMiner

Compared 3% of the time

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Dataiku vs KNIME Business Hub

Compared 11% 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 8% of the time

Alteryx vs KNIME Business Hub

Compared 8% of the time

Altair Knowledge Studio vs KNIME Business Hub

Compared 2% 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 7% of the time

SAS Visual Analytics vs SAS Enterprise Miner

Compared 7% of the time

IBM SPSS Modeler vs SAS Enterprise Miner

Compared 6% of the time

Weka vs SAS Enterprise Miner

Compared 6% of the time

More SAS Enterprise Miner Competitors

Product Reports

Buyer's Guide

Altair RapidMiner

February 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 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

February 2026

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