Altair RapidMiner vs Alteryx comparison

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Altair RapidMiner

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Executive SummaryUpdated on Mar 4, 2025

Alteryx and RapidMiner are competitive analytics platforms focusing on data preparation and machine learning. Alteryx holds an edge with its intuitive interface and broad integration capabilities, while RapidMiner shines with extensive model tuning features.

Features: Alteryx excels in its intuitive drag-and-drop functionality, enabling users to process large datasets without coding skills. Its seamless integration with tools like Tableau enhances its usability for comprehensive data blending and predictive analytics. Alteryx provides robust code-free solutions, making it appealing to both novices and experienced professionals. RapidMiner, meanwhile, offers extensive built-in data tuning and numerous machine learning models. Its strong automation features support a range of file formats, making it ideal for data scientists who prefer a no-code environment.

Room for Improvement: Alteryx could enhance its visualization capabilities and simplify its complex workflow with better documentation. Increasing interactivity in analytics and strengthening machine learning and cloud integration could also be beneficial. RapidMiner might focus on improving integration with deep learning models and refining its user interface to maintain competitiveness. Enhancements in automation and customization options could further optimize its processes.

Ease of Deployment and Customer Service: Both Alteryx and RapidMiner offer strong on-premise capabilities. Alteryx benefits from extensive community support and robust customer service, but some users experience longer wait times. Premium support fees are required. RapidMiner's active community facilitates deployment and troubleshooting, though some users seek improved onboarding experiences. Its support setup is commendably accessible without additional fees.

Pricing and ROI: Alteryx's high licensing costs present a significant investment, especially for small businesses. However, the substantial ROI and efficiency gains often justify the expense. RapidMiner offers a more cost-effective freemium model, especially beneficial for academic and small-scale users, although it is perceived as expensive in some markets. RapidMiner's significant ROI is largely due to its efficiency and comprehensive feature set.

To learn more, read our detailed Altair RapidMiner vs. Alteryx Report (Updated: February 2025).

Altair RapidMiner vs. Alteryx

February 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 Predictive Analytics

3rd

Ranking in Data Science Platforms

7th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Alteryx

Ranking in Predictive Analytics

1st

Ranking in Data Science Platforms

5th

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Preparation Tools (1st)

Mindshare comparison

As of April 2025, in the Predictive Analytics category, the mindshare of Altair RapidMiner is 15.9%, down from 19.8% compared to the previous year. The mindshare of Alteryx is 21.4%, down from 26.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Predictive Analytics

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.

Offers good tutorials that make it easy to learn and use, with a powerful feature to compare machine learning algorithms

Featured Reviews

Laurence Moseley

Emeritus Professor of Health Services Research at University of South Wales

When I started using RapidMiner, I found it difficult to get it to read the metadata. I wanted to use, for example, a pivot table, and it did not have the variable or the attribute names in it. There were no values. It took a long while to figure out how to do that, although it tends to do it automatically nowadays. RapidMiner is not utterly intuitive for beginners. Sometimes people have trouble distinguishing between a file in their own file system and a repository entry, and they cannot find their data. This is an area where this solution could be improved. It would be helpful to have some tutorials on communicating with Python. I found it a bit difficult at times to figure out which particular variable, or attribute, is going where in Python. It is probably a simple thing to do but I haven't mastered it yet. I'd like them to do a video on that. There are a large number of videos that are usually well-produced, but I don't think that they have one on that. Essentially, I would like to see how to communicate from RapidMiner to Python and from Python to RapidMiner. One of the things I do a lot of is looking at questionnaires where people have used Likert-type scales. I don't recommend Likert-type scales, but if they're properly produced, which is a lot of hard work and it's not usually done, they're really powerful and you can do things like normalizing holes on the Likert scale. That's not the same as normalizing your data in RapidMiner. So, I would want to get results with these Likert scales, pass it through RapidMiner, do a normalization and pass back both the raw scores and the normalized scores and put in some rules, which will say if it's high on the raw score and on the normalized score and low on the standard deviation, then you can trust it.

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Theresa McLaughlin

Senior Capacity Planner at a financial services firm with 10,001+ employees

Quick development enables seamless data processing despite occasional support issues

There were times when the product would fail during development without an apparent reason. The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system. Licensing negotiations were problematic, affecting our product usage. For instance, our licenses were temporarily lost during negotiations when an agreement couldn't be reached.

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."

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

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

"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."

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

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

"The most valuable feature is what the product sets out to do, which is extracting information and data."

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

More Altair RapidMiner pros

"The solution offers excellent predicting power. The accuracy and confidence have been great."

"My primary focus is creating numerous data pulls, and Alteryx Server handles the automation well."

"The product is very stable and super fast, five-star. It's significantly more stable than it's nearest competitor."

"The feature that I have found most valuable for Alteryx is its geo-referencing feature, it is very good. I use it a lot, especially for supply chain."

"The design portion of this tool is easy to use without code, which his something that something we can appreciate."

"The data transformation feature is the most valuable. The ability to ingest data, visualize data, and transform that data is useful."

"All of the data science features in terms of unioning and joining data together are valuable."

"The modeling features are very good."

More Alteryx 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."

"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."

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

"I would appreciate improvements in automation and customization options to further streamline processes."

"About twenty-five percent of my problems involve image processing, and I found RapidMiner lacking in this domain. While we work on OCR and similar tasks, RapidMiner hasn't been as engaged in that field as other models. Some other models also support email processing, but RapidMiner doesn't offer this feature."

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

"I would like to see all users have access to all of the deep learning models, and that they can be used easily."

More Altair RapidMiner cons

"When a process completes there is a notification, but the notification does not include the process's name."

"All of the reports are migrated or exported in an Excel file, and most of the time, a business intelligence tool is required. They could have better reporting. The aesthetic could be improved."

"The technical support could have a little bit of improvement."

"The solution could work on the BI side of the tool to make it a bit better."

"Even when it already includes some AI models, this area could be improved."

"Its most valuable feature lies in its functionality."

"I think sometimes the solution doesn't load properly or takes so much time for the workflows. Though the workflow runs and completes the file in Excel, if you use the same formula, it's a bit slow. Also, the image processing is not so good because I tried to do some image processing and they were like, sometimes they put two to eight. In the document, it was two, but the OCR predicted it as eight."

"If there is any way to make the learning curve less steep, that would be ideal."

More Alteryx cons

Pricing and Cost Advice

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

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

"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."

"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."

"While it offers extensive features, including predictive analytics, for those who mainly use it for data preparation and blending, the cost can be prohibitive."

"It has a good price."

"In my opinion, it's actually quite expensive."

"The solution has a more costly license than other tools in the market."

"The license is really expensive, we cannot afford to have two or three. It takes away all the budget of my area."

"My organization pays for it, and I do not look into the financial aspect of the licensing, but I know it is pretty expensive."

"I rate the solution's pricing as a ten, as it is highly priced."

"I rate the tool's pricing a two out of ten."

More Alteryx 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?

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 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

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)

Read full answer

Top Industries

By visitors reading reviews

University

11%

Computer Software Company

11%

Educational Organization

10%

Financial Services Firm

24%

Manufacturing Company

10%

Computer Software Company

Healthcare 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...

What is your experience regarding pricing and costs for RapidMiner?

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.

What needs improvement with RapidMiner?

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

What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?

One of the differences is that with Alteryx you can use it as an ETL and analytics tool. Please connect with me directly if you want to know more.

What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?

Alteryx is an extremely easy and flexible data tool, flexible in terms of drag and drop toolset and also has python, R integrations if your team requires this. It can handle over 2 billion rows of...

What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?

I am not familiar with IBM SPSS Modeler, therefore, I cannot compare these two products. Regarding Alteryx I can say the following: - An excellent desktop tool for Data Prep and analytics. - Featu...

KNIME vs Altair RapidMiner

Comparisons

Compared 52% of the time

Dataiku vs Altair RapidMiner

Compared 16% of the time

Tableau vs Altair RapidMiner

Compared 7% 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

Dataiku vs Alteryx

Compared 18% of the time

KNIME vs Alteryx

Compared 16% of the time

Databricks vs Alteryx

Compared 11% of the time

Tableau vs Alteryx

Compared 5% of the time

Microsoft Power BI vs Alteryx

Compared 4% of the time

More Alteryx Competitors

Product Reports

Download Altair RapidMiner product report

Altair RapidMiner

March 2025

Download Alteryx product report

March 2025

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

Alteryx can be used to speed up or automate your business processes and enables geospatial and predictive solutions. Its platform helps organizations answer business questions quickly and efficiently, and can be used as a major building block in a digital transformation or automation initiative. With Alteryx, you can build processes in a more efficient, repeatable, and less error-prone way. Unlike other tools, Alteryx is easy to use without an IT background. The platform is very robust and can be used in virtually any industry or functional area.

With Alteryx You Can:

Prep, blend, and analyze data
Deliver faster, better business outcomes
Automate analytics and data science
Embed intelligent decisioning
Deploy and share analytics in hours

Alteryx Features Include:

Some of the most valuable Alteryx features include:

Scalability, stability, flexibility, fast performance, no-code analytics, data processing, business logic wrapping, scheduling, ease of use, data blending from different platforms, geo-referencing, good customization capabilities, drag and drop functionality, intuitive user interface, connectors, machine learning, macros, simple GUI, integration with Python, good data transformation, good documentation, multiple database merging, and easy deployment.

Alteryx Can Be Used For:

Combining and manipulating data within spreadsheets: Alteryx can be used in situations where complex data manipulation occurs. It can handle large data quickly, and the process is much simpler to see and understand.
Database access and supplementing SQL development: Alteryx has several sets of database connectors and functions, including many functions that your average database does not. Alteryx can work with data from multiple databases or areas within a database. It allows users to filter, sort, calculate, etc. as they would commonly do in SQL or an ETL tool.
API, cloud, and hybrid access: Alteryx can read and write data in databases, files, REST APIs, and a myriad of other locations (with the correct permissions). When a workflow is published, you can also call a workflow through a REST API to start it.
Data science: Alteryx provides pre-built models that are extremely useful for data scientists who may have limited programming skills and also gives you the ability to add R or Python code directly within a workflow.
Geospatial analysis: Alteryx gives users drag-and-drop tools to geocode, plot, and map locations, customers, competitors, or anything that has a location (employee, truck, pipeline, etc.).
Reports and dashboards: Alteryx provides built-in tools that enable the building of reports and dashboards.

Alteryx Benefits

Some of the benefits of using Alteryx include
:

Saves time: Alteryx helps shorten the time required to start analyzing data and looking for insights, minimizing the tasks that do not add value to the business and maximizing the analysis phase.
Clear tool configurations: Alteryx provides simple and concise tool configurations that are quick and easy to set.
Excellent workflow compatibility.
Reduced development time: Alteryx has an extensive gallery of user-developed analytic applications that helps to reduce development time.
Fast data loading: Alteryx has tools that make it very effective when working with big data sets.
No-code, low-code analytic building blocks: You can prep, blend, and analyze data to enable highly configurable and repeatable workflows.
Machine learning: Alteryx allows you to quickly create properly trained algorithms that are ready to deploy.

Reviews from Real Users

"Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful." - Theresa M., Senior Capacity Planner at a financial services firm

"Alteryx has made us more agile and increased the speed and effectiveness of decision making." - Richard F., Director, Digital Experience & Media at Qdoba Restaurant Corporation

"The scheduling feature for the automation is excellent." - Data Analytics Engineer at a tech services company

"The product is very stable and super fast, five-star. It's significantly more stable than its nearest competitor." - Director at a non-tech company

“A complete solution with very good user experience and a nice user interface.” - Solutions Consultant at a tech services company

"There are a lot of good customization capabilities." - Advance Analytics PO at a pharma/biotech company

Sample Customers

PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen

AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen