Altair RapidMiner vs Alteryx vs DataRobot comparison

Read 85 Alteryx reviews

7,504 Views
1,126 Comparison Views

89% willing to recommend

Read 6 DataRobot reviews

2,786 Views
697 Comparison Views

100% willing to recommend

Altair RapidMiner

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Altair RapidMiner, Alteryx, and DataRobot based on real PeerSpot user reviews.

Find out what your peers are saying about Alteryx, SAP, Anaplan and others in Predictive Analytics.

To learn more, read our detailed Predictive Analytics Report (Updated: April 2026).

Predictive Analytics

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Helped 886,664 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 April 2026, in the Predictive Analytics category, the mindshare of Altair RapidMiner is 6.0%, down from 15.9% compared to the previous year. The mindshare of Alteryx is 6.9%, down from 21.4% compared to the previous year. The mindshare of DataRobot is 5.6%, down from 9.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Predictive Analytics Mindshare Distribution
Product	Mindshare (%)
Alteryx	6.9%
Altair RapidMiner	6.0%
DataRobot	5.6%
Other	81.5%

Predictive Analytics

Featured Reviews

Sachin Jagtap

Senior Manager, Digitalization of Supply Chain& Traceability at a non-profit with 501-1,000 employees

Gain insights and make predictions with intuitive tools and seamless data preparation

Altair RapidMiner is easy to use and intuitive with no coding required, making it a low code tool. It offers flexibility, allowing for extensive data preparation and initial insights, and facilitates building a chain of analysis. Additionally, it includes machine learning and AI tools to work on complex datasets. It is considered a stable product with a long-standing presence.

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Rajneesh Prajapati

Senior Rpa Consultant at Accely Consulting

Time-saving workflows have transformed data preparation and predictive analysis for my team

Some of the best features Alteryx offers are its no and low-code capabilities. It delivers massive time-saving and includes spatial and predictive analysis. Alteryx includes built-in tools such as drive time analysis and linear regression, which are much harder to achieve in standard BI tools such as Power BI or Tableau. In addition to these features, Alteryx provides built-in spatial tools that can calculate drive time and location-based insights with minimal effort through drag-and-drop spatial tools, low complex coding, faster, and more accurate results. Linear regression predicts sales based on marketing spend, estimates costs based on usage, and identifies trends in historical data. Alteryx has positively impacted my organization by saving time, improving accuracy, and enabling better decision-making. Using Alteryx, complex tasks such as data cleansing, joining datasets, drive time analysis, and linear regression can be done much faster compared to manual Excel or SQL work. This reduces dependency on manual effort and lowers the risk of human error. Drive time analysis helps my organization make better location-based decisions, such as identifying optimal service areas or improving customer reach.

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Naqash Ahmed

Senior Data Reporting Analyst at University of Bradford

Automation has improved efficiency and decision-making while big data handling and transparency still need work

Aside from the many advantages of DataRobot, I believe there are areas that could be improved based on my experience. There is a lack of transparency in the models; sometimes it feels like a black box. For example, when I uploaded a large data set of about two gigabytes for processing, the time taken was slower than expected. Additionally, the handling of bigger data sets could be better, as it performs extremely well with smaller datasets but can lag with larger ones. The integration with some other tools used in our organization can also be challenging, and more flexibility for custom pre-processing and advanced model tuning would be beneficial. In terms of support and documentation, I believe improvements are needed. For instance, the response time from DataRobot could be quicker, which would be appreciated when we need assistance. The documentation is generally sufficient, but it can be lengthy and could use more real-world examples and step-by-step tutorials for better clarity. Lastly, creating a client community where users can share experiences and solutions might enhance the overall value and learning curve.

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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

"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 solution is stable."

"The best thing about RapidMiner is efficiency."

"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 is very easy to use."

"This solution is a great tool for users that are experimenting and is an alternative to doing the coding and everything themselves."

"Since the beginning, we had a really nice onboarding experience with RapidMiner."

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

More Altair RapidMiner pros

"It saves time on a lot projects."

"The three data signs and data engineering are great features."

"This is a drag-and-drop tool which is easy-to-use and yet can be customized by creating your own components."

"Alteryx has cut down on time spent cleaning and transforming the data, improved productivity, and transitioning from PoC to other users was seamless because the users upskilled quickly and could take ownership without a steep learning curve."

"Although Alteryx is a paid software, it is equally able to provide better performance without writing a single line of code."

"Alteryx integrates well; I can read data from a database on the web and import it into my Alteryx database, and it is very easy to use and quite user-friendly, which I enjoy."

"One-stop shop for data preparation, blending, prediction, and optimization in a single workflow."

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

More Alteryx pros

"By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month."

"The business departments will love to work with DataRobot because they use the tool to investigate their data, such as targeting what they want to investigate."

"Tasks such as model testing, feature engineering, and predictions that used to take us days or weeks can now be accomplished in hours."

"DataRobot can be easy to use."

"We especially like the initial part of feature engineering, because feature engineering is included in most engines, but DataRobot has an excellent way of picking up the right features."

"DataRobot is highly automated, allowing data scientists to build models easily."

"It's easy to do MLOps operations. It's a lot easier to manage jobs and see the logs if there's any drift in a model."

"We especially like the initial part of feature engineering, because feature engineering is included in most engines, but DataRobot has an excellent way of picking up the right features."

Cons

"I would like to see wider adoption of the RapidMiner platform by the Open Source community as a viable alternative/companion to Python and R."

"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."

"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."

"Improve the online data services."

"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."

"The biggest problem, not from a platform process, but from an avoidance process, is when you work in a heavily regulated BFSI environment, like banking and finance."

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

"RapidMiner can improve deep learning by enhancing the features."

More Altair RapidMiner cons

"The product could benefit from improved integration with visualization tools or even the inclusion of built-in visualization features."

"The pricing seems high for my current needs. However, considering the benefits, it is easier to justify to management for broader company usage."

"All of the reports are migrated or exported in an Excel file, and most of the time, a business intelligence tool is required."

"The formula we currently use in Alteryx can be automated."

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

"More emphasis on extensible R and data augmentation interface design."

"In my opinion, Alteryx does have a zone to do predictive analytics, but it is very limited, so they could focus more on that."

"It would be beneficial if Alteryx could lower its price or introduce a loyalty program for individual consultants and freelancers like me."

More Alteryx cons

"There are some performance issues."

"The business departments will love to work with DataRobot because they use the tool to investigate their data, such as targeting what they want to investigate. They don't need any data scientists near them. They can investigate at eye level and bring into the BI tool, or can bring it to the data scientist. Data scientists can use this tool to bring increase the solution to the maximum. All the others can use it, but not to the maximum."

"All the others can use it, but not to the maximum."

"There is a lack of transparency in the models; sometimes it feels like a black box."

"Generative AI has taken pace, and I would like to see how DataRobot assists in doing generative AI and large language models."

"DataRobot is a UI-based tool, which means it cannot provide all the features I might manually implement through notebooks or Python. In this aspect, I see room for improvement in its functionality."

"We dropped the plan to use DataRobot because we found the pricing to be on the higher side."

"If we could include our existing Python or R code in DataRobot, we could make it even better. The DataRobot that we have is specific to an industry, but most of the time we would have our own algorithms, which are specific to our own use case. If we had a way by which we could integrate our proprietary things into DataRobot with a simple integration, it would help us a lot."

Pricing and Cost Advice

"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."

"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."

"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 designer has a list price of $5,995 USD."

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

"There are some implementation services and internal effort costs at the beginning but there is nothing else."

"A designer and scheduler for $13K/year in total is pretty much earning you the money back in time and in other resources."

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

"If one is a high price, and ten is a low price, I rate the tool's price as a one. The tool is expensive."

"Its price should be lower. The key thing that we see is that talking about ROI is an important element at the time of purchase. Cost becomes a factor in every discussion. Justifying the ROI for these kinds of workflows is always a challenge, and the only way to counter the challenge is by addressing the pricing."

"Opt for the three year subscription. It is 20% less than the yearly one."

More Alteryx pricing and cost advice

"The price of DataRobot is good because if you take the price of the solution which is approximately $65,000, it is less than a data scientist. There are very few data scientists available."

"We dropped the plan to use DataRobot, because we found the pricing to be on the higher sise. We liked DataRobot a lot, but due to the pricing, we dropped that idea."

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Top Industries

By visitors reading reviews

Manufacturing Company

11%

Financial Services Firm

11%

University

10%

Computer Software Company

Financial Services Firm

20%

Manufacturing Company

Computer Software Company

Retailer

Financial Services Firm

14%

Manufacturing Company

13%

Educational Organization

Construction 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

By reviewers
Company Size	Count
Small Business	32
Midsize Enterprise	15
Large Enterprise	54

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	1
Large Enterprise	5

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...

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.

What needs improvement with RapidMiner?

Currently, I am unsure of all the AI features available in Altair RapidMiner, particularly advanced AI capabilities l...

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 direc...

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, ...

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...

What is your experience regarding pricing and costs for DataRobot?

My experience with pricing, setup cost, and licensing reveals that the price points can be improved and DataRobot is ...

What needs improvement with DataRobot?

To improve DataRobot, I suggest enhancing model accuracy metrics and improving automation. The price points can also ...

What is your primary use case for DataRobot?

DataRobot serves as our data science platform for building machine learning models and the development environment fo...

KNIME Business Hub vs Altair RapidMiner

Comparisons

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Compared 7% of the time

Tableau Enterprise vs Altair RapidMiner

Compared 4% of the time

IBM SPSS Modeler vs Altair RapidMiner

Compared 3% of the time

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Databricks vs Alteryx

Compared 13% of the time

Dataiku vs Alteryx

Compared 10% of the time

KNIME Business Hub vs Alteryx

Compared 9% of the time

Tableau Enterprise vs Alteryx

Compared 3% of the time

Microsoft Azure Machine Learning Studio vs Alteryx

Compared 2% of the time

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Amazon SageMaker vs DataRobot

Compared 11% of the time

Cohere vs DataRobot

Compared 7% of the time

Hugging Face vs DataRobot

Compared 6% of the time

Microsoft Azure Machine Learning Studio vs DataRobot

Compared 6% of the time

Datadog vs DataRobot

Compared 5% of the time

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Product Reports

Altair RapidMiner

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Download Alteryx product report

Download DataRobot product report

Overview

Altair RapidMiner is a GUI-driven, code-free data science tool ideal for users seeking efficiency and user-friendliness, featuring automated data cleaning and versatile model support for diverse tasks.

Altair RapidMiner offers an accessible platform with drag-and-drop functionality, supporting multiple file formats to streamline data science workflows. It enables quick prototyping and integrates with APIs, Python, and R, enhancing user flexibility. Comprehensive documentation and tutorials support learning, while features like model fine-tuning and predictive analytics cater to advanced analysis. Enhancements in automation and deep learning, alongside improvements in data service integration and metadata handling, remain a focus for development.

What are the key features of Altair RapidMiner?

Code-Free Interface: Simplifies data science with GUI support.
Drag-and-Drop Functionality: Streamlines process setup.
Automated Data Cleaning: Saves time in data preparation.
Machine Learning Algorithms: Supports a wide range for various tasks.
API & Python/R Integration: Enhances flexibility for data projects.
Tutorials & Documentation: Provides robust learning resources.

What benefits and ROI can users expect?

Efficiency: Reduces time spent on data processing.
Flexibility: Offers adaptable integration options.
Scalability: Suited for both educational and business environments.
Usability: User-friendly interface encourages wider adoption.
Predictive Capabilities: Empowers advanced business analytics.

Industries such as telecom and finance utilize Altair RapidMiner for tasks like data preparation and forecasting. Universities employ it for education and research projects, while businesses apply it to areas such as financial crime management and market analysis. It assists companies in predicting customer behavior and analyzing pharmaceutical data, allowing seamless integration with other systems.

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

DataRobot captures the knowledge, experience and best practices of the world’s leading data scientists, delivering unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users to build and deploy highly accurate machine learning models in a fraction of the time.