Altair RapidMiner vs IBM SPSS Modeler vs KNIME Business Hub comparison

Altair and IBM are both solutions in the Data Science Platforms category. Altair is ranked #8 with an average rating of 8.3, while IBM is ranked #12 with an average rating of 8.0. Altair holds a 4.2% mindshare in Data Science Platforms, compared to IBM’s 3.5% mindshare. Additionally, 96% of Altair users are willing to recommend the solution, compared to 86% of IBM users who would recommend it.

Altair RapidMiner

Read 24 Altair RapidMiner reviews

4,558 Views
3,874 Comparison Views

96% willing to recommend

IBM SPSS Modeler

Read 40 IBM SPSS Modeler reviews

2,814 Views
2,082 Comparison Views

86% willing to recommend

KNIME Business Hub

Read 62 KNIME Business Hub reviews

8,206 Views
5,908 Comparison Views

94% willing to recommend

Altair RapidMiner

IBM SPSS Modeler

KNIME Business Hub

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Altair RapidMiner, IBM SPSS Modeler, and KNIME Business Hub 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: March 2026).

Buyer's Guide

Data Science Platforms

March 2026

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Helped 885,837 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 April 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 IBM SPSS Modeler is 3.5%, up from 2.4% compared to the previous year. The mindshare of KNIME Business Hub is 6.8%, down from 11.6% 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%
IBM SPSS Modeler	3.5%
Other	85.5%

Data Science Platforms

Featured Reviews

Sachin Jagtap

Senior Manager, Digitalization of Supply Chain& Traceability at a non-profit with 501-1,000 employees

Gain insights and make predictions with intuitive tools and seamless data preparation

Altair RapidMiner is easy to use and intuitive with no coding required, making it a low code tool. It offers flexibility, allowing for extensive data preparation and initial insights, and facilitates building a chain of analysis. Additionally, it includes machine learning and AI tools to work on complex datasets. It is considered a stable product with a long-standing presence.

Read full review

Prof. Dr. Rudolf Bisping

Business Owner at SASS GmbH

Support and flexibility enable effective project initiation and meet customer needs but deployment requires enhancement

The customer comes to you and says they want to deploy it and make a production out of this, which is very difficult and expensive with IBM SPSS Modeler. With MATLAB, there is no problem. I have a solution, and then I convert my MATLAB solution to C programming language. This I can deploy, and I can check it, and it is MISRA compatible. It is very easy to deploy it, to go from MATLAB to C or C++, which is actually needed in the car industry. In the car industry, they want to have it in the hardware. You cannot put MATLAB or IBM SPSS Modeler in the hardware of a car, but with C, there is no problem with a microcontroller. They can shoot it into the microcontroller, and I can check it with Polyspace, and it is MISRA compatible, which is an industrial standard. There is nothing similar in IBM SPSS Modeler. I made solutions with IBM SPSS Modeler, and then the customer said they wanted to make a production out of it, and it was not possible. I stopped with IBM SPSS Modeler 18. It is now 18.6 from what I know at the moment. I do not believe that there is a possibility to design a graphic user interface with it. It is itself a graphic user interface, where you put all sorts of little icons into the display.

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NataliaRaffo

Co Founder & Chief Data Officer Cdo at NTT DATA

Workflow automation has accelerated advanced analytics and machine learning delivery

Sometimes it is a little bit difficult to use some nodes when we have many large-scale data, for example, CSV files with a large amount of data. It is sometimes difficult to try to import the data in KNIME Business Hub nodes because I think that some features that are in the CSV in text, for example, large text, is difficult for KNIME Business Hub to import these fields. I don't know why, but it is very difficult. We need to try to use different nodes for importing the data, such as File Reader and CSV Reader. However, I think that it is always the features that have much text, it is difficult for KNIME Business Hub to understand and import this information. I don't know why, or maybe I don't know if we don't know what the better option is to configure the node to import all the CSV or the data set. However, we have always had this problem. In some nodes, sometimes it is the same because sometimes, for example, I have a CSV and in my CSV, I have a feature that is, for example, a date. When I import this data set in the File Reader node, I have problems with this field because it is a date, but the problem is that it imports it as text, for example. We try to use their nodes that convert text to date, but sometimes it is difficult, and it is not immediate to transform the text into a date. So we needed to convert the text into a date in the CSV, and then import it again in the KNIME Business Hub node and try to have a good read of this field. I know that KNIME Business Hub has some nodes to convert text to date and others, but sometimes it is difficult to use these nodes. I don't know why. Maybe it needs a specific format for the date and we need to transform our feature in this option. So sometimes it is a large process to convert these features. However, sometimes we need to investigate and search for other nodes, and try with other nodes to import these cases.

Read full review

Quotes from Members

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

Pros

"The most valuable features are the Binary classification and Auto Model."

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

"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."

"RapidMiner is very easy to use."

"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."

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

"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."

"The technical support for RapidMiner is fantastic."

More Altair RapidMiner pros

"We have been able to do some predictive modeling with it"

"We had an IBM Guardium service contract where we used one of their resources to help us develop our prototype. It was a good experience, but they were helpful and responsive."

"In the solution, I like the virtualization of data flow since it shows what goes where, which is mostly the strength of the tool."

"We have integration where you can write third-party apps. This sort of feature opens it up to being able to do anything you want."

"IBM was chosen because of usability. It's point and click, whereas the other out-of-the box-solution, or open-source solutions, require full-on programming and a much higher skill level."

"We had an IBM Guardium service contract where we used one of their resources to help us develop our prototype."

"SPSS Modeler is a friendly interface for a beginner user."

"The software is robust with advance statistical tools in hand from time series analysis to logistic regression, it can be used by banks for fraud detection, by convenience stores for market basket analysis, for cluster analysis on customer segmentation."

More IBM SPSS Modeler pros

"This open-source product can compete with category leaders in ELT software."

"Easy to connect with every database: We use queries from SQL, Redshift, Oracle."

"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."

"The most valuable features of KNIME are its ability to convert your sub-workflow into a node. For example, the workflow has many individual native nodes that can be converted into a single node. This representation has simplified my workflow to a great extent. I can present my workflow in a very compact way."

"I use it personally for my purposes and for the company; I use it for internal data science with very good results."

"It's very convenient to write your own algorithms in KNIME; you can write it in Java script or Python transcript."

"I think that KNIME Business Hub is very robust and is a leading solution for analytics and advanced analytics."

"KNIME is quite scalable, which is one of the most important features that we found."

More KNIME Business Hub pros

Cons

"On the other hand, compared to some other products, maybe the UI could be enhanced."

"RapidMiner is not utterly intuitive for beginners."

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

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

"The product must provide data-cleaning features."

"I would like to see more integration capabilities."

"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."

More Altair RapidMiner cons

"Setup is a little problematic for desktop. A nightmare for server."

"It is very good, but slow. The slowness may be because we have not finalized all the background information in SPSS. It still needs some tweaking."

"I would like better integration into the Weather Company solution. I have raised a couple of concerns about this integration and having more time series capabilities."

"The biggest issue with the visual modeling capability is that we can't extract the SQL code under the hood."

"Neural networks are quite simple, and now neural networks are evolving to these architecture related to deep learning, etc. They didn't incorporate this in IBM SPSS Modeler."

"Dimension reduction is very important, especially if you are working with millions of recordings and thousands of variables."

"Neural networks are quite simple, and now neural networks are evolving to these architecture related to deep learning, etc. They didn't incorporate this in IBM SPSS Modeler."

"It would be beneficial if the tool would include more well-known machine learning algorithms."

More IBM SPSS Modeler cons

"Occasionally, when using the GET object, there might be issues due to the velocity of the lines or the IT system of the commission."

"The diversity of native algorithms could be improved."

"Regarding integration capabilities, I do not think it is that easy to integrate KNIME Business Hub with another product because the connector does not have many options."

"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."

"The graphic features of KNIME need improvement"

"The documentation needs a proper rework. "

"KNIME is not scalable."

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

More KNIME Business Hub cons

Pricing and Cost Advice

"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."

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

"It is an expensive product."

"If you are in a university and the license is free then you can use the tool without any charges, which is good."

"Having in mind all four tools from Garner’s top quadrant, the pricing of this tool is competitive and it reflects the quality that it offers."

"The scalability was kind of limited by our ability to get other people licenses, and that was usually more of a financial constraint. It's expensive, but it's a good tool."

"The government has funds and a budget, it's hard to say if it's expensive or cheap. In Canada, they have a yearly budget. They used to encourage people to use the modeler for development. If ten users use the server with ten licenses, it runs faster. But if forty users use the same appliance, everything slows down. People then think it's not easy to do things and prefer using remote tools like Python to extract data from the database. It's not about being expensive or cheap, but about people's knowledge and experience in how to do the work."

"When you are close to end of quarter, IBM and its partners can get you 60% to 70% discounts, so literally wait for the last day of the quarter for the best prices. You may feel like you are getting robbed if you can't receive a good discount."

"$5,000 annually."

"Its price is okay for a company, but for personal use, it is considered somewhat expensive."

More IBM SPSS Modeler pricing and cost advice

"KNIME desktop is free, which is great for analytics teams. Server is well priced, depending on how much support is required."

"While there are certain limitations in functionality, you can still utilize it efficiently free of charge."

"KNIME Business Hub is expensive for small companies."

"The price for Knime is okay."

"KNIME offers a free version"

"It's an open-source solution."

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

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

More KNIME Business Hub pricing and cost advice

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Top Industries

By visitors reading reviews

Manufacturing Company

11%

Financial Services Firm

10%

University

10%

Computer Software Company

Government

10%

Financial Services Firm

10%

University

Outsourcing Company

Financial Services Firm

12%

Manufacturing Company

University

Educational Organization

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	9
Midsize Enterprise	4
Large Enterprise	32

By reviewers
Company Size	Count
Small Business	20
Midsize Enterprise	16
Large Enterprise	31

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 is your experience regarding pricing and costs for IBM SPSS Modeler?

The government has funds and a budget, it's hard to say if it's expensive or cheap. In Canada, they have a yearly bud...

See all answers

What needs improvement with IBM SPSS Modeler?

The customer comes to you and says they want to deploy it and make a production out of this, which is very difficult ...

See all answers

What is your primary use case for IBM SPSS Modeler?

I have been using IBM SPSS Modeler for a long time. I am using IBM SPSS Modeler mainly for ETL. Sometimes I use it to...

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

Comparisons

Dataiku vs Altair RapidMiner

Compared 8% of the time

Databricks vs Altair RapidMiner

Compared 7% of the time

Alteryx vs Altair RapidMiner

Compared 6% of the time

Tableau Enterprise vs Altair RapidMiner

Compared 4% of the time

IBM SPSS Statistics vs Altair RapidMiner

Compared 3% of the time

More Altair RapidMiner Competitors

IBM SPSS Statistics vs IBM SPSS Modeler

Compared 39% of the time

Microsoft Power BI vs IBM SPSS Modeler

Compared 5% of the time

Weka vs IBM SPSS Modeler

Compared 3% of the time

Microsoft Azure Machine Learning Studio vs IBM SPSS Modeler

Compared 3% of the time

SAS Analytics vs IBM SPSS Modeler

Compared 3% of the time

More IBM SPSS Modeler Competitors

Dataiku vs KNIME Business Hub

Compared 10% of the time

Alteryx vs KNIME Business Hub

Compared 8% of the time

Microsoft Azure Machine Learning Studio vs KNIME Business Hub

Compared 8% of the time

Databricks vs KNIME Business Hub

Compared 7% of the time

Altair Knowledge Studio vs KNIME Business Hub

Compared 3% of the time

More KNIME Business Hub Competitors

Product Reports

Buyer's Guide

Altair RapidMiner

April 2026

Download Altair RapidMiner product report

Buyer's Guide

IBM SPSS Modeler

March 2026

Download IBM SPSS Modeler product report

Buyer's Guide

KNIME Business Hub

March 2026

Download KNIME Business Hub product report

Also Known As

No data available

SPSS Modeler

KNIME Analytics Platform

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

IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions from the desktop or within operational systems.

Buy
https://www.ibm.com/products/spss-modeler/pricing

Sign up for the trial
https://www.ibm.com/account/reg/us-en/signup?formid=urx-19947

IBM

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

Sample Customers

PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen

Reisebªro Idealtours GmbH, MedeAnalytics, Afni, Israel Electric Corporation, Nedbank Ltd., DigitalGlobe, Vodafone Hungary, Aegon Hungary, Bureau Veritas, Brammer Group, Florida Department of Juvenile Justice, InSites Consulting, Fortis Turkey

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

Buyer's Guide

Data Science Platforms

March 2026

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