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 7.9. Altair holds a 4.2% mindshare in Data Science Platforms, compared to Knime’s 6.8% 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

4,558 Views
3,874 Comparison Views

96% willing to recommend

KNIME Business Hub

Read 60 KNIME Business Hub reviews

8,206 Views
5,908 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: February 2026).

Buyer's Guide

Altair RapidMiner vs. KNIME Business Hub

February 2026

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Helped 883,692 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:

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 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. 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%
Other	89.0%

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

"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."

"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 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."

"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."

"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 best part of RapidMiner is efficiency."

"RapidMiner for Windows is an excellent graphical tool for data science."

More Altair RapidMiner pros

"The tool's analytic capabilities are good."

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

"The solution allows for sharing model designs and model operations with other data analysts."

"Overall KNIME serves its purpose and does a good job."

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

"Usability, and organising workflows in very neat manner. Controlling workflow through variables is something amazing."

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

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

More KNIME Business Hub pros

Cons

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

"The price of this solution should be improved."

"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."

"A great product but confusing in some way with regard to the user interface and integration with other tools."

"Currently, I am unsure of all the AI features available in Altair RapidMiner, particularly advanced AI capabilities like neural networks and deep learning."

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

"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."

More Altair RapidMiner cons

"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."

"KNIME doesn't handle large datasets or a high number of records well."

"One thing to consider is that the prebuilt nodes may not always be a perfect fit for your specific needs, although most of the time, they work quite well."

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

"I would like it to have data visualitation capabilities. Today I'm still creating my own data visualtions tools to present my reports."

"KNIME is not scalable."

"KNIME's licensing and data management aren't as straightforward relative to Alteryx. Alteryx's tools are more sophisticated, so you need fewer to use it compared to KNIME. I think tab implementation could be easier, too."

"The overall user experience feels unpolished. In particular: Data field type conversion is a real hassle, and date fields are a hassle; documentation is pretty poor; user community is average at best."

More KNIME Business Hub cons

Pricing and Cost Advice

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

"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."

"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."

"This is a free open-source solution."

"KNIME is free and open source."

"The price for Knime is okay."

"It is expensive to procure the license."

"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."

"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 client versions are mostly free, and we pay only for the KNIME server version. It's not a cheap solution."

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

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

11%

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 9% of the time

Databricks vs Altair RapidMiner

Compared 6% of the time

Alteryx vs Altair RapidMiner

Compared 5% 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

Alteryx vs KNIME Business Hub

Compared 8% of the time

Microsoft Power BI vs KNIME Business Hub

Compared 7% 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

March 2026

Download Altair RapidMiner product report

Buyer's Guide

KNIME Business Hub

February 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

February 2026

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