Altair RapidMiner vs DataRobot vs IBM Predictive Analytics comparison

Altair and DataRobot are both solutions in the Predictive Analytics category. Altair is ranked #3 with an average rating of 8.1, while DataRobot is ranked #5 with an average rating of 8.7. Altair holds a 10.9% mindshare in PA, compared to DataRobot’s 8.1% mindshare. Additionally, 96% of Altair users are willing to recommend the solution, compared to 100% of DataRobot users who would recommend it.

Altair RapidMiner

Read 24 Altair RapidMiner reviews

4,556 Views
592 Comparison Views

96% willing to recommend

DataRobot

Read 5 DataRobot reviews

1,829 Views
530 Comparison Views

100% willing to recommend

IBM Predictive Analytics

Read 1 IBM Predictive Analytics review

154 Views
142 Comparison Views

100% willing to recommend

Altair RapidMiner

DataRobot

IBM Predictive Analytics

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Executive Summary

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

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

To learn more, read our detailed Predictive Analytics Report (Updated: September 2025).

Buyer's Guide

Predictive Analytics

September 2025

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Helped 868,706 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 October 2025, in the Predictive Analytics category, the mindshare of Altair RapidMiner is 10.9%, down from 18.6% compared to the previous year. The mindshare of DataRobot is 8.1%, up from 7.8% compared to the previous year. The mindshare of IBM Predictive Analytics is 2.2%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Predictive Analytics Market Share Distribution
Product	Market Share (%)
Altair RapidMiner	10.9%
DataRobot	8.1%
IBM Predictive Analytics	2.2%
Other	78.8%

Predictive Analytics

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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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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Luigi-Esposito

Head of Digital Consulting at a tech services company with 10,001+ employees

Good prediction capability for marketing purposes, although it needs to be more flexible

I found it very hard to change the algorithm that is used for prediction and I think that this solution can be more flexible. It looks like more of a black box in some cases and there are few ways to intervene and specify actions. Using IBM Predictive Analytics requires more skill, resources, and training than some other solutions. In the next release of this solution, I would like to see better integration with business solutions so that the data can be more easily accessed.

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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

"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."

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

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

"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 data stored there. RapidMiner offers a wider range of operators than other tools like Dataiku, making it a better option for my needs."

"The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS."

"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."

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

More Altair RapidMiner pros

"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."

"DataRobot can be easy to use."

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

"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."

"The most valuable feature is the predictive capability in marketing use cases."

Cons

"Currently, I am unsure of all the AI features available in Altair RapidMiner, particularly advanced AI capabilities like neural networks and deep learning."

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

"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."

"The price of this solution should be improved."

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

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

"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."

"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."

More Altair RapidMiner cons

"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."

"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."

"There are some performance issues."

"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."

"Using IBM Predictive Analytics requires more skill, resources, and training than some other solutions."

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."

"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."

"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."

"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."

Information not available

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Top Industries

By visitors reading reviews

University

12%

Manufacturing Company

10%

Computer Software Company

10%

Educational Organization

10%

Financial Services Firm

14%

Manufacturing Company

11%

Computer Software Company

Retailer

No data available

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

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...

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 l...

See all answers

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...

See all answers

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...

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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...

See all answers

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Comparisons

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Compared 48% of the time

Dataiku vs Altair RapidMiner

Compared 14% of the time

Tableau Enterprise vs Altair RapidMiner

Compared 8% of the time

Alteryx vs Altair RapidMiner

Compared 6% of the time

SAS Enterprise Miner vs Altair RapidMiner

Compared 2% of the time

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Amazon SageMaker vs DataRobot

Compared 35% of the time

Alteryx vs DataRobot

Compared 9% of the time

Microsoft Azure Machine Learning Studio vs DataRobot

Compared 8% of the time

IBM Watson Machine Learning vs DataRobot

Compared 8% of the time

Datadog vs DataRobot

Compared 6% of the time

More DataRobot Competitors

Persistent Data and Analytics vs IBM Predictive Analytics

Compared 100% of the time

More IBM Predictive Analytics Competitors

Product Reports

Buyer's Guide

Altair RapidMiner

September 2025

Download Altair RapidMiner product report

Buyer's Guide

Predictive Analytics

September 2025

Download DataRobot product report

Buyer's Guide

Predictive Analytics

September 2025

Download IBM Predictive Analytics product report

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

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.

DataRobot

Information not available

IBM

Sample Customers

PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen

Harmoney, Zidisha, ONE Marketing, DonorBureau, Trupanion, Avant

Getin Noble Bank S.A., North Pacific Bank Ltd., RightShip, California Franchise Tax Board, Consolidated Communications, Coherent Path Inc., Rossmann Supermarkety Drogeryjne Polska Sp. z o.o., Tennessee Highway Patrol, Banco de Prevision Social, Comptel Corp.

Find out what your peers are saying about Alteryx, SAP, Altair and others in Predictive Analytics. Updated: September 2025.

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