Altair RapidMiner vs Domino Data Science Platform vs KNIME Business Hub comparison

Altair and Domino Data Lab are both solutions in the Data Science Platforms category. Altair is ranked #7 with an average rating of 8.1, while Domino Data Lab is ranked #15 with an average rating of 8.0. Altair holds a 7.4% mindshare in Data Science Platforms, compared to Domino Data Lab’s 2.7% mindshare. Additionally, 96% of Altair users are willing to recommend the solution, compared to 100% of Domino Data Lab users who would recommend it.

Altair RapidMiner

Read 24 Altair RapidMiner reviews

4,844 Views
4,214 Comparison Views

96% willing to recommend

Domino Data Science Platform

Read 2 Domino Data Science Platform reviews

1,468 Views
1,439 Comparison Views

100% willing to recommend

KNIME Business Hub

Read 60 KNIME Business Hub reviews

9,800 Views
6,860 Comparison Views

94% willing to recommend

Altair RapidMiner

Domino Data Science Platform

KNIME Business Hub

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Altair RapidMiner, Domino Data Science Platform, 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: September 2025).

Buyer's Guide

Data Science Platforms

September 2025

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Helped 868,304 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 September 2025, in the Data Science Platforms category, the mindshare of Altair RapidMiner is 7.4%, down from 7.5% compared to the previous year. The mindshare of Domino Data Science Platform is 2.7%, down from 2.9% compared to the previous year. The mindshare of KNIME Business Hub is 12.3%, up from 10.8% 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	12.3%
Altair RapidMiner	7.4%
Domino Data Science Platform	2.7%
Other	77.6%

Data Science Platforms

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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AHMEDSAHRAOUI

Machine Learning Engineer at Unemployed

Accelerated machine learning model development with seamless deployment

We used Domino Data Science Platform for developing and working with machine learning models. It facilitated end-to-end development processes. Domino is based on Git, enabling collaboration similar to using Git. Each user operates on their own equivalent of a branch or fork, and once finished, they…

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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,

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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

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

"It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive."

"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"

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

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

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

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

More Altair RapidMiner pros

"The workspaces, which are like wrappers of Docker containers, made it easy to start development environments using Domino."

"The scalability of the solution is good; I'd rate it four out of five."

"Since KNIME is a no-code platform, it is easy to work with."

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

"It offers a node-based data integration and processing system connected through a user-friendly drag-and-drop interface. This makes it an excellent choice for data analytics and engineering tasks."

"I know I don't use it to its full capacity, but I love the Rule Engine feature. It has allowed me to create lookup tables on the fly and break down text fields into quantifiable data."

"There are a lot of connectors available in KNIME."

"KNIME is fast and the visualization provides a lot of clarity. It clarifies your thinking because you can see what's going on with your data."

"It's a huge tool with machine learning features as well."

"From a user-friendliness perspective, it's a great tool."

More KNIME Business Hub pros

Cons

"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."

"RapidMiner isn't cheap. It's a complete solution, but it's costly."

"The product must provide data-cleaning features."

"The price of this solution should be improved."

"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."

"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 can improve deep learning by enhancing the features."

More Altair RapidMiner cons

"The deployment of large language models (LLMs) could be improved."

"The predictive analysis feature needs improvement."

"KNIME is not good at visualization."

"I'd like something that would make it easier to connect/parse websites, although I will fully admit that I'm not as proficient in KNIME as I would like to be, so it could be I'm just missing something."

"If they had a more structured training model it would be very helpful."

"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."

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

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

"I've had some problems integrating KNIME with other solutions."

"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."

More KNIME Business Hub cons

Pricing and Cost Advice

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

"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'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."

Information not available

"KNIME Business Hub is expensive for small companies."

"It's an open-source solution."

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

"This is a free open-source solution."

"It is free of cost. It is GNU licensed."

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

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

"The price of KNIME is quite reasonable and the designer tool can be used free of charge."

More KNIME Business Hub pricing and cost advice

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Top Industries

By visitors reading reviews

University

12%

Manufacturing Company

10%

Computer Software Company

10%

Educational Organization

Financial Services Firm

40%

Manufacturing Company

Insurance Company

Healthcare Company

Financial Services Firm

11%

Manufacturing Company

10%

University

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	5
Large Enterprise	8

No data available

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. 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...

See all answers

What needs improvement with Domino Data Science Platform?

The deployment of large language models (LLMs) could be improved. Currently, Domino provides a simple server that can...

See all answers

What is your primary use case for Domino Data Science Platform?

We used Domino Data Science Platform for developing and working with machine learning models. It facilitated end-to-e...

See all answers

What advice do you have for others considering Domino Data Science Platform?

It's important to have a DevOps team well-versed with cloud-native solutions to manage Domino effectively. Relying so...

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 15% of the time

Tableau Enterprise vs Altair RapidMiner

Compared 8% of the time

Alteryx vs Altair RapidMiner

Compared 6% of the time

Microsoft Azure Machine Learning Studio vs Altair RapidMiner

Compared 3% of the time

IBM SPSS Modeler vs Altair RapidMiner

Compared 3% of the time

More Altair RapidMiner Competitors

Databricks vs Domino Data Science Platform

Compared 27% of the time

Dataiku vs Domino Data Science Platform

Compared 25% of the time

Amazon SageMaker vs Domino Data Science Platform

Compared 21% of the time

Alteryx vs Domino Data Science Platform

Compared 8% of the time

Anaconda Business vs Domino Data Science Platform

Compared 5% of the time

More Domino Data Science Platform Competitors

Dataiku vs KNIME Business Hub

Compared 13% of the time

Microsoft Power BI 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 7% of the time

Weka vs KNIME Business Hub

Compared 7% of the time

More KNIME Business Hub Competitors

Product Reports

Buyer's Guide

Altair RapidMiner

September 2025

Download Altair RapidMiner product report

Buyer's Guide

Data Science Platforms

September 2025

Download Domino Data Science Platform product report

Buyer's Guide

KNIME Business Hub

September 2025

Download KNIME Business Hub product report

Also Known As

No data available

Domino Data Lab Platform

KNIME Analytics Platform

Interactive Demo

Demo not available

Altair

Domino Data Lab

Demo not available

Knime

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

Domino provides a central system of record that keeps track of all data science activity across an organization. Domino helps data scientists seamlessly orchestrate AWS hardware and software toolkits, increase flexibility and innovation, and maintain required IT controls and standards. Organizations can automatically keep track of all data, tools, experiments, results, discussion, and models, as well as dramatically scale data science investments and impact decision-making across divisions. The platform helps organizations work faster, deploy results sooner, scale rapidly, and reduce regulatory and operational risk.

Domino Data Lab

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

Allstate, GSK, AstraZeneca, Federal Reserve, US Navy, Bristol Myers Squibb, Bayer, BNP Paribas, Moodys, New York Life

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

Buyer's Guide

Data Science Platforms

September 2025

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