Altair RapidMiner vs DataRobot comparison

Altair and DataRobot are both solutions in the Predictive Analytics category. Altair is ranked #2 with an average rating of 8.1, while DataRobot is ranked #5 with an average rating of 8.7. Altair holds a 14.1% mindshare in PA, compared to DataRobot’s 9.2% 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

742 Views
556 Comparison Views

96% willing to recommend

DataRobot

Read 5 DataRobot reviews

636 Views
271 Comparison Views

100% willing to recommend

Altair RapidMiner

DataRobot

Comparison Buyer's Guide

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Executive SummaryUpdated on Jun 8, 2025

Altair RapidMiner and DataRobot are competing products in predictive analytics and data science platforms. Altair RapidMiner holds an advantage in ease of use and pricing, while DataRobot excels in advanced automation and machine learning capabilities, making it preferred for innovation and high-level analytics.

Features: Altair RapidMiner offers robust data preparation, model building, and visualization utilities, providing scalable solutions across various industries. It's appreciated for its code-free environment, allowing users without coding skills to build models with drag-and-drop functionality and supports extensive file formats. DataRobot is known for its automation of machine learning processes, simplifying complex tasks and enhancing model accuracy and efficiency. It features an end-to-end platform with AutoML capabilities, helping users compare and select the best models quickly and integrating MLOps for monitoring.

Room for Improvement: Altair RapidMiner could improve its generative AI adaptation and enhance its feature engineering capabilities. The need for more comprehensive tutorials is also noted. DataRobot could improve its ease of use for non-technical users by reducing the learning curve and providing better user guidance throughout the platform. Enhancements in customer support responsiveness and pricing transparency are also areas for improvement.

Ease of Deployment and Customer Service: Altair RapidMiner offers flexible deployment options, including cloud and on-premises solutions, making it adaptable across diverse IT environments. Its customer service is approachable, helping users navigate technical challenges. DataRobot offers streamlined cloud-based deployment, promoting ease of integration and rapid scaling, though it requires more technical support due to its complexity, highlighting customer service as an essential component.

Pricing and ROI: Altair RapidMiner presents an affordable pricing strategy, delivering substantial ROI through easy-to-use features, appealing to smaller businesses and academic sectors. DataRobot, while more expensive, justifies its cost through enhanced model performance and faster time to value, favored by larger enterprises focused on high returns on investment over time.

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

Buyer's Guide

Altair RapidMiner vs. DataRobot

June 2025

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Helped 860,592 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

2nd

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Science Platforms (7th)

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 (15th)

Mindshare comparison

As of July 2025, in the Predictive Analytics category, the mindshare of Altair RapidMiner is 14.1%, down from 18.1% compared to the previous year. The mindshare of DataRobot is 9.2%, up from 8.6% 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.

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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.

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 solution is stable."

"RapidMiner is very easy to use."

"The solution is very intuitive and powerful."

"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"

"The best part of RapidMiner is efficiency."

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

"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."

More Altair RapidMiner pros

"DataRobot can be easy to use."

"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."

"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."

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

Cons

"The visual interface could use something like the-drag-and-drop features which other products already support. Some additional features can make RapidMiner a better tool and maybe more competitive."

"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."

"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."

"RapidMiner isn't cheap. It's a complete solution, but it's costly."

"The product must provide data-cleaning features."

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

"I would like to see more integration capabilities."

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

More Altair RapidMiner cons

"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."

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

"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."

"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."

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."

"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."

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

"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."

"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."

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Top Industries

By visitors reading reviews

Computer Software Company

11%

University

10%

Educational Organization

10%

Financial Services Firm

14%

Educational Organization

11%

Manufacturing Company

10%

Computer Software Company

10%

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 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 like neural networks and deep learning. It would be beneficial if the platform co...

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What needs improvement with DataRobot?

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.

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 up our connection with a back-end data set, whatever the project I work on next...

See all answers

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 Python API, which extends the capability for different use cases. Additionally, I wou...

See all answers

Comparisons

KNIME vs Altair RapidMiner

Compared 51% of the time

Dataiku vs Altair RapidMiner

Compared 16% of the time

Tableau vs Altair RapidMiner

Compared 8% of the time

Alteryx vs Altair RapidMiner

Compared 7% of the time

Databricks vs Altair RapidMiner

Compared 2% of the time

More Altair RapidMiner Competitors

Amazon SageMaker vs DataRobot

Compared 37% of the time

Microsoft Azure Machine Learning Studio vs DataRobot

Compared 9% of the time

Alteryx vs DataRobot

Compared 8% of the time

Datadog vs DataRobot

Compared 8% of the time

Hugging Face vs DataRobot

Compared 7% of the time

More DataRobot Competitors

Product Reports

Buyer's Guide

Altair RapidMiner

June 2025

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Buyer's Guide

Predictive Analytics

May 2025

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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

June 2025

Free Report: Altair RapidMiner vs. DataRobot

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