Altair RapidMiner vs Alteryx vs DataRobot comparison

Read 82 Alteryx reviews

1,293 Views
861 Comparison Views

89% willing to recommend

DataRobot

Read 5 DataRobot reviews

720 Views
338 Comparison Views

100% willing to recommend

Altair RapidMiner

DataRobot

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 2025).

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Predictive Analytics

April 2025

Helped 851,174 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 May 2025, in the Predictive Analytics category, the mindshare of Altair RapidMiner is 15.3%, down from 19.2% compared to the previous year. The mindshare of Alteryx is 20.3%, down from 25.3% compared to the previous year. The mindshare of DataRobot is 9.5%, up from 8.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Predictive Analytics

Featured Reviews

Laurence Moseley

Emeritus Professor of Health Services Research at University of South Wales

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

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.

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SagarYadav

Staff Specialist Data Scientist at BMC Software, Inc.

Automating model comparison speeds up development and reduces timelines

DataRobot is equipped with a GUI-based approach that simplifies the process of feature engineering and model training. It provides AutoML capabilities, which allow for comparing thousands of models and selecting the best-suited one based on business requirements. By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month.

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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

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

"Altair RapidMiner is easy to use and intuitive with no coding required, making it a low code tool."

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

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

"The solution is very intuitive and powerful."

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

"It's helpful if you want to make informed decisions using data. We can take the information, tease out the attributes, and label everything. It's suitable for profiling and forecasting in any industry."

"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

"Alteryx is user-friendly and allows easy creation of workflows compared to Informatica PowerCenter."

"Its initial setup is easy."

"I found Alteryx's ability to modify data on the fly, using in-memory processing, very useful."

"Alteryx is a simple and easy-to-use solution."

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

"It is a stable and scalable solution."

"Geo features have made spatial mapping large retail universes possible."

"I think the most valuable feature for Alteryx in a health facility is that it permits cleaning, organizing, and merging of databases such as Excel and Access."

More Alteryx pros

"DataRobot can be easy to use."

"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."

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

"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."

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

Cons

"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."

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

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

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

"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 helpful to have some tutorials on communicating with Python."

"In the Mexican or Latin American market, it's kind of pricey."

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

More Altair RapidMiner cons

"The GUI interface functions but it could stand to be updated to a more modern look and feel."

"There could be a bit of improvement related to performance. Sometimes it demands a lot of resources for running it, like memory and search."

"Alteryx can improve the model management and deployment processing of large workloads."

"In the database, it should be more functional and connect to more big data, especially using IPI."

"Sometimes workflows tend to queue up, and they tend to get canceled for some reason that we don't know sometimes."

"There is currently no cloud solution and this would be valuable for many clients."

"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."

"There have been some issues with licensing, particularly with the increased prices. This has led some companies, including ours, to consider reducing the number of licenses or potentially discontinuing their use of Alteryx."

More Alteryx cons

"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."

"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."

"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."

"There are some performance issues."

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

Pricing and Cost Advice

"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."

"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."

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

"ROI is huge. There are some secondary benefits, like analysts getting their post 5 PM time back or the ability to shorten all closing processes to a half or less."

"In order to have designers, and, if you want to collaborate, you have to buy a server. If the designer is $5,000, and if you want a server, you have to pay $80,000."

"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."

"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 tool's pricing a two out of ten."

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

"It is $4,000 a year, so it is cheap versus other solutions. It also accomplishes three times the volume on the job in the same time (as the other solutions)."

"The cost of the solution could be reduced."

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

University

11%

Computer Software Company

11%

Educational Organization

10%

Financial Services Firm

25%

Computer Software Company

Manufacturing Company

Healthcare Company

Educational Organization

18%

Financial Services Firm

14%

Manufacturing Company

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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 needs improvement with DataRobot?

DataRobot is a UI-based tool, which means it cannot provide all the features I might manually implement through noteb...

What is your primary use case for DataRobot?

In our day-to-day use, I utilize DataRobot to speed up our development process through its GUI capability. Once I set...

What advice do you have for others considering DataRobot?

I would recommend DataRobot because if there is something not included in the UI, I have the freedom to use its Pytho...

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

IBM SPSS Modeler vs Altair RapidMiner

Compared 3% of the time

Microsoft Power BI vs Altair RapidMiner

Compared 2% of the time

More Altair RapidMiner Competitors

Dataiku vs Alteryx

Compared 18% of the time

KNIME vs Alteryx

Compared 15% of the time

Databricks vs Alteryx

Compared 11% of the time

Tableau vs Alteryx

Compared 5% of the time

Qlik Sense vs Alteryx

Compared 4% of the time

More Alteryx Competitors

Amazon SageMaker vs DataRobot

Compared 38% of the time

Datadog vs DataRobot

Compared 12% of the time

Microsoft Azure Machine Learning Studio vs DataRobot

Compared 11% of the time

Google Vertex AI vs DataRobot

Compared 6% of the time

Hugging Face vs DataRobot

Compared 6% of the time

More DataRobot Competitors

Product Reports

Download Altair RapidMiner product report

Altair RapidMiner

May 2025

Download Alteryx product report

May 2025

Download DataRobot product report

Predictive Analytics

April 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