Altair RapidMiner vs KNIME Business Hub 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

Altair RapidMiner

KNIME Business Hub

Comparison Buyer's Guide

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Executive SummaryUpdated on Feb 8, 2026

Altair RapidMiner and KNIME Business Hub compete in the data analytics market. Altair RapidMiner is noted for its pricing and customer support, while KNIME Business Hub is preferred for its feature-rich offerings, which justify its higher cost.

Features: Altair RapidMiner provides strong data integration capabilities, machine learning algorithms, and comprehensive analytics tools. KNIME Business Hub is recognized for its visual workflows, extensive prebuilt component library, and diverse application possibilities.

Room for Improvement: Altair RapidMiner could enhance generative AI adaptation, improve advanced data visualization, and expand community-driven open-source contributions. KNIME Business Hub could simplify its deployment process, enhance user interface usability, and improve scalability for enterprise environments.

Ease of Deployment and Customer Service: Altair RapidMiner offers a streamlined deployment process with robust support services, facilitating quick organizational onboarding. KNIME Business Hub provides substantial support with flexible deployment options, although it may require tailored approaches for specific needs.

Pricing and ROI: Altair RapidMiner is valued for its competitive setup costs and strong ROI potential through cost-effective packages. However, KNIME Business Hub requires a higher initial investment that is justified by its advanced capabilities, offering promising long-term returns.

To learn more, read our detailed Altair RapidMiner vs. KNIME Business Hub Report (Updated: December 2025).

Buyer's Guide

Altair RapidMiner vs. KNIME Business Hub

December 2025

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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:

Categories and Ranking

Altair RapidMiner

Ranking in Data Science Platforms

8th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Predictive Analytics (4th)

KNIME Business Hub

Ranking in Data Science Platforms

3rd

Average Rating

8.2

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Data Mining (1st)

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. 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%
Other	88.1%

Data Science Platforms

Q&A Highlights

AshokPai

Consultant at World Media Group, LLC

Nov 02, 2023

Which solution provides the best ROI: KNIME, Alteryx or RapidMiner?

I'd suggest checking out the new Actable AI as well. It has a better AutoML and a lot more advanced features like Causal ML.

See all answers

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.

Read full review

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.

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

"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."

"The best part of RapidMiner is efficiency."

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

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

"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."

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

"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."

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

More Altair RapidMiner pros

"The hardest part is keeping a tidy workspace because of the many nodes involved. When teaching, it would be helpful if there was more emphasis on how to group nodes effectively. For example, turning frequently used nodes into a single component can simplify things."

"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."

"Valuable features include visual workflow creation, workflow variables (parameterisation), automatic caching of all intermediate data sets in the workflow, scheduling with the server."

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

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

"Stability is excellent. I would give it a nine out of ten."

"I would rate the stability of KNIME a ten out of ten."

"We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics."

More KNIME Business Hub pros

Cons

"Altair RapidMiner needs updates to its examples, particularly in business and marketing areas, and to the tool itself. The user interface should be improved."

"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."

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

"I would like to see more integration capabilities."

"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."

"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."

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

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

More Altair RapidMiner cons

"Not just for KNIME, but generally for software and analyzing data, I would welcome facilities for analyzing different sorts of scale data like Likert scales, Thurstone scales, magnitude ratio scales, and Guttman scales, which I don't use myself."

"Compared to the other data tools on the market, the user interface can be improved."

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

"Sometimes, we needed more space to handle larger operations, especially since our machines had limited space and memory due to Kubernetes clusters."

"The visualization functionalities are not good (cannot be compared to, for instance, the possibilities in R)."

"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."

"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."

"It's very general in terms of architecture, and as a result, it doesn't support efficient running. That is, the speed needs to be improved."

More KNIME Business Hub cons

Pricing and Cost Advice

"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."

"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."

"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."

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

"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."

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

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

"The price for Knime is okay."

"KNIME assets are stand alone, as the solution is open source."

"I use the open-source version."

"KNIME is free and open source."

More KNIME Business Hub pricing and cost advice

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Answers from the Community

AshokPai

Consultant at World Media Group, LLC

Nov 2, 2023

Which solution provides the best ROI: KNIME, Alteryx or RapidMiner?

Of those three you should consider alteryx, it saves time in ETL a lot, Alteryx is better at handling large data sets than Knime and RapidMiner. But please also consider Dataiku... Up to 3 users it's free ;o)

See 2 answers

Trung Huynh

CTO, Founder at Actable AU

Apr 15, 2023

I'd suggest checking out the new Actable AI as well. It has a better AutoML and a lot more advanced features like Causal ML.

Read full answer

AltanAtabarut

Solution Consulting, Growth, Analytics at Akinon

Nov 2, 2023

Read full answer

Top Industries

By visitors reading reviews

Manufacturing Company

12%

University

11%

Computer Software Company

10%

Educational Organization

Financial Services Firm

12%

University

Manufacturing Company

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	20
Midsize Enterprise	16
Large Enterprise	29

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. It can also connect to databases, allowing me to build models directly on the dat...

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 like neural networks and deep learning. It would be beneficial if the platform co...

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 version, 5.4, when it becomes available. The machine learning and profileration asp...

See all answers

Comparisons

Dataiku vs Altair RapidMiner

Compared 10% 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 5% of the time

Microsoft Azure Machine Learning Studio vs Altair RapidMiner

Compared 3% 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

Microsoft Power BI vs KNIME Business Hub

Compared 8% of the time

Alteryx vs KNIME Business Hub

Compared 8% of the time

Databricks vs KNIME Business Hub

Compared 6% of the time

More KNIME Business Hub Competitors

Product Reports

Buyer's Guide

Altair RapidMiner

February 2026

Download Altair RapidMiner product report

Buyer's Guide

KNIME Business Hub

January 2026

Download KNIME Business Hub product report

Also Known As

No data available

KNIME Analytics Platform

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

Sample Customers

PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen

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

Buyer's Guide

Altair RapidMiner vs. KNIME Business Hub

December 2025

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