Altair RapidMiner vs DataRobot comparison

Altair and DataRobot are both solutions in the Predictive Analytics category. Altair is ranked #3 with an average rating of 8.3, while DataRobot is ranked #5 with an average rating of 8.7. Altair holds a 16.5% mindshare in PA, compared to DataRobot’s 8.4% mindshare. Additionally, 95% of Altair users are willing to recommend the solution, compared to 100% of DataRobot users who would recommend it.

Altair RapidMiner

Read 22 Altair RapidMiner reviews

923 Views
724 Comparison Views

95% willing to recommend

DataRobot

Read 5 DataRobot reviews

773 Views
348 Comparison Views

100% willing to recommend

Altair RapidMiner

DataRobot

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Mar 4, 2025

Altair RapidMiner and DataRobot are competitors in the data analytics and machine learning space. While DataRobot is considered superior due to its advanced features, Altair RapidMiner is preferred for pricing and support.

Features: Altair RapidMiner offers a code-free environment, easy workflow integration, and strong customization. DataRobot provides comprehensive automation, a wide range of algorithms, and robust predictive analytics capabilities.

Room for Improvement: Altair RapidMiner could enhance algorithm depth, improve onboarding, and offer more cloud integrations. DataRobot might focus on reducing costs, simplifying user interface interactions, and expanding user support options.

Ease of Deployment and Customer Service: Altair RapidMiner ensures swift deployment with a supportive service team, offering a straightforward process. DataRobot emphasizes guided onboarding and resource-rich support for efficient deployment.

Pricing and ROI: Altair RapidMiner is more cost-effective with lower initial setup costs, suitable for budget-conscious buyers. DataRobot, while more expensive, achieves higher ROI through advanced capabilities supporting business growth.

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

Buyer's Guide

Altair RapidMiner vs. DataRobot

January 2025

Download the complete report

Helped 839,422 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:

Categories and Ranking

Altair RapidMiner

Ranking in Predictive Analytics

3rd

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Science Platforms (6th)

DataRobot

Ranking in Predictive Analytics

5th

Average Rating

8.6

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

AI Development Platforms (13th), AIOps (16th)

Mindshare comparison

As of March 2025, in the Predictive Analytics category, the mindshare of Altair RapidMiner is 16.5%, down from 20.7% compared to the previous year. The mindshare of DataRobot is 8.4%, down from 9.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

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.

Read full review

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.

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

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

"The best part of RapidMiner is efficiency."

"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."

"What I like about RapidMiner is its all-in-one nature, which allows me to prepare, extract, transform, and load data within the same tool."

"The solution is stable."

"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."

"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."

"RapidMiner is very easy to use."

More Altair RapidMiner pros

"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."

"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."

"DataRobot can be easy to use."

Cons

"The product must provide data-cleaning features."

"The price of this solution should be improved."

"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."

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

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

"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."

"It would be helpful to have some tutorials on communicating with Python."

"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

"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."

"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."

"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

"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 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."

"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."

See which vendors are best for you

Use our free recommendation engine to learn which Predictive Analytics solutions are best for your needs.

See recommendations

839,422 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

University

11%

Computer Software Company

11%

Financial Services Firm

10%

Educational Organization

23%

Financial Services Firm

13%

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. It can also connect to databases, allowing me to build models directly on the dat...

See all answers

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.

See all answers

What needs improvement with RapidMiner?

The product must provide data-cleaning features. I could not use RapidMiner for data cleaning in one of my projects and had to use Python instead.

See all answers

What needs improvement with DataRobot?

There are some performance issues when it comes to improvements. They also offer storage-related services compared to other tools like Admin, Azure, or AWS. It is easy to plug and play. Third-party...

See all answers

What is your primary use case for DataRobot?

We work on AI and ML use cases related to technology and IT.

See all answers

What advice do you have for others considering DataRobot?

Based on your similar requirements, V10.0 has very cool features related to AI Generation. I would suggest the team, too. This is very good for data scientists or people who don't want to code. Eve...

See all answers

Comparisons

KNIME vs Altair RapidMiner

Compared 52% of the time

Dataiku vs Altair RapidMiner

Compared 17% of the time

Alteryx vs Altair RapidMiner

Compared 8% of the time

Tableau vs Altair RapidMiner

Compared 7% of the time

Microsoft Power BI vs Altair RapidMiner

Compared 2% of the time

More Altair RapidMiner Competitors

Amazon SageMaker vs DataRobot

Compared 35% of the time

Microsoft Azure Machine Learning Studio vs DataRobot

Compared 12% of the time

Datadog vs DataRobot

Compared 12% of the time

Alteryx vs DataRobot

Compared 7% of the time

Google Vertex AI vs DataRobot

Compared 6% of the time

More DataRobot Competitors

Product Reports

Buyer's Guide

Altair RapidMiner

February 2025

Download Altair RapidMiner product report

Buyer's Guide

Predictive Analytics

February 2025

Download DataRobot 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

Sample Customers

PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen

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

Buyer's Guide

Altair RapidMiner vs. DataRobot

January 2025

Free Report: Altair RapidMiner vs. DataRobot

Find out what your peers are saying about Altair RapidMiner vs. DataRobot and other solutions. Updated: January 2025.

DOWNLOAD NOW

839,422 professionals have used our research since 2012.

See our Altair RapidMiner vs. DataRobot report.

See our list of best Predictive Analytics vendors.

We monitor all Predictive Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.