Altair RapidMiner vs KNIME Business Hub comparison

Altair and Knime are both solutions in the Data Science Platforms category. Altair is ranked #7 with an average rating of 8.1, while Knime is ranked #2 with an average rating of 8.1. Altair holds a 7.6% mindshare in Data Science Platforms, compared to Knime’s 11.9% 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

5,047 Views
4,340 Comparison Views

96% willing to recommend

KNIME Business Hub

Read 60 KNIME Business Hub reviews

10,110 Views
7,077 Comparison Views

94% willing to recommend

Altair RapidMiner

KNIME Business Hub

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 27, 2025

Altair RapidMiner and KNIME Business Hub are competing in the field of data analytics. While Altair RapidMiner benefits from better pricing and customer support, KNIME Business Hub stands out with its extensive features for advanced analytics.

Features: Altair RapidMiner is known for its intuitive workflows and automated data science processes. Its integration with other languages like R and Python enhances flexibility. Altair's no-code interface allows users to focus on models without coding intricacies. KNIME Business Hub offers extensive customization, open-source support, and visual workflow creation. Its seamless integration with APIs and other languages makes it strong for advanced data management and analytics.

Room for Improvement: Altair RapidMiner could improve by adopting more advanced AI features for greater flexibility. Enhancing generative AI capabilities and integration features would be beneficial. Additionally, expanding the marketplace for extensions could further support users. KNIME Business Hub would benefit from simplifying complex deployment processes to enhance user experience. Offering more straightforward documentation could assist beginners. KNIME could also focus on enhancing its learning resources for users less familiar with data analytics.

Ease of Deployment and Customer Service: Altair RapidMiner offers a straightforward deployment process and efficient customer support, which promptly addresses technical issues. In contrast, KNIME Business Hub's deployment can be complex, but it is supported by extensive documentation and a rich user community that helps users realize its full potential.

Pricing and ROI: Altair RapidMiner is valued for its cost-effectiveness and quick ROI due to its streamlined processes. KNIME Business Hub, perceived as more expensive, justifies its cost with a comprehensive toolset that supports long-term strategic data analysis. Altair provides more immediate financial relief, whereas KNIME offers greater long-term analytical capabilities.

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

Buyer's Guide

Altair RapidMiner vs. KNIME Business Hub

July 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

7th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Predictive Analytics (2nd)

KNIME Business Hub

Ranking in Data Science Platforms

2nd

Average Rating

8.2

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Data Mining (1st)

Mindshare comparison

As of August 2025, in the Data Science Platforms category, the mindshare of Altair RapidMiner is 7.6%, up from 7.2% compared to the previous year. The mindshare of KNIME Business Hub is 11.9%, up from 10.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

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

Rathnam Makam

Senior Technical Manager at a computer software company with 1,001-5,000 employees

A no-code tool that helps to build machine learning models

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 haven't explored the tool's latest version, so I'm unaware of the current features. However, I think it would be beneficial if they could enhance capabilities related to deep neural networks, provide better support for generating UI, and allow for importing and utilizing large language models.

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Laurence Moseley

Emeritus Professor of Health Services Research at University of South Wales

Has a drag-and-drop interface and AI capabilities

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. Next, you can clean the data by handling missing values, selecting specific columns you want to analyze, and then proceeding with your analysis, such as regression or correlation. KNIME has over 4,500 nodes available for download. In addition, KNIME offers various extensions. For instance, the text processing extension allows you to process text data efficiently. It's more powerful than other tools like NVivo and Palantir. KNIME also has AI capabilities. If you're unsure about the next step, the AI assistant can suggest the most frequently used nodes based on your previous work. Another valuable feature is the integration with Python. If you need to perform a task that requires Python, you can simply add a Python node, write the necessary code,

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 data science, collaboration, and IDN are very, very strong."

"The solution is very intuitive and powerful."

"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."

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

"The solution is stable."

"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."

"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."

More Altair RapidMiner pros

"The visual workflow tools for custom and complex tasks always beat raw coding languages with the agility, speed to deliver, and ease of subsequent changes."

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

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

"It is possible to configure the system to effectively manage memory and space requirements."

"The tool's analytic capabilities are good."

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

"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."

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

More KNIME Business Hub pros

Cons

"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."

"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."

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

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

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

"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 like to see more integration capabilities."

More Altair RapidMiner cons

"I would prefer to have more connectivity."

"In my environment, I need to access a lot of servers with different characteristics and access methods. Some of my servers have to be accessed using proxy which is not supported by KNIME, so I still need to create the middleware to supply the source of my KNIME configurations."

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

"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."

"One area that could be improved is increasing awareness and adoption of KNIME among organizations. Despite its capabilities, it is not as well-known as other tools. The advertising and marketing efforts to reach out to companies and universities have not been very successful."

"There should be better documentation and the steps should be easier."

"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."

More KNIME Business Hub cons

Pricing and Cost Advice

"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."

"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."

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

"It is expensive to procure the license."

"KNIME is free and open source."

"KNIME offers a free version"

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

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

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

"I use the open-source version."

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

University

11%

Computer Software Company

11%

Educational Organization

10%

Manufacturing Company

Financial Services Firm

11%

Manufacturing Company

10%

University

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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 15% of the time

Tableau Enterprise vs Altair RapidMiner

Compared 8% of the time

Alteryx vs Altair RapidMiner

Compared 7% of the time

IBM SPSS Modeler vs Altair RapidMiner

Compared 3% 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 13% of the time

Microsoft Power BI vs KNIME Business Hub

Compared 12% of the time

Microsoft Azure Machine Learning Studio vs KNIME Business Hub

Compared 8% of the time

Alteryx vs KNIME Business Hub

Compared 7% of the time

Weka vs KNIME Business Hub

Compared 6% of the time

More KNIME Business Hub Competitors

Product Reports

Buyer's Guide

Altair RapidMiner

August 2025

Download Altair RapidMiner product report

Buyer's Guide

KNIME Business Hub

August 2025

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

July 2025

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