Altair RapidMiner vs IBM Predictive Analytics comparison

Altair and IBM are both solutions in the Predictive Analytics category. Altair is ranked #3 with an average rating of 8.3, while IBM is ranked #16. Altair holds a 16.5% mindshare in PA, compared to IBM’s 0.9% mindshare. Additionally, 95% of Altair users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

Altair RapidMiner

Read 22 Altair RapidMiner reviews

923 Views
724 Comparison Views

95% willing to recommend

IBM Predictive Analytics

Read 1 IBM Predictive Analytics review

57 Views
24 Comparison Views

100% willing to recommend

Altair RapidMiner

IBM Predictive Analytics

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 4, 2025

Altair RapidMiner and IBM Predictive Analytics compete in predictive analytics. IBM Predictive Analytics appears to have an advantage with its comprehensive feature set.

Features: Altair RapidMiner offers an easy-to-use drag-and-drop interface, versatile data handling, and strong cloud service integration. IBM Predictive Analytics provides advanced machine learning capabilities, integration in enterprise systems, and a robust data scientist toolkit.

Ease of Deployment and Customer Service: Altair RapidMiner offers a straightforward deployment process with responsive support for small to medium enterprises. IBM Predictive Analytics, suitable for larger organizations, provides a more complex deployment model with seamless infrastructure integration and robust global service support.

Pricing and ROI: Altair RapidMiner is known for cost-effective pricing with a low entry cost. IBM Predictive Analytics, although more expensive, justifies its cost with high potential ROI due to its rich feature set and scalability for large enterprises.

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

Buyer's Guide

Predictive Analytics

February 2025

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Helped 839,515 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)

IBM Predictive Analytics

Ranking in Predictive Analytics

16th

Average Rating

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

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 IBM Predictive Analytics is 0.9%, up from 0.5% 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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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've been using a lot of components from the Strategic Extension and Python Extension."

"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."

"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."

"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 features are the Binary classification and Auto Model."

"The most valuable feature is what the product sets out to do, which is extracting information and data."

"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."

"RapidMiner is very easy to use."

More Altair RapidMiner pros

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

Cons

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

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

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

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

"I would like to see more integration capabilities."

"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."

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

"The product must provide data-cleaning features."

More Altair RapidMiner cons

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

Pricing and Cost Advice

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

"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."

"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."

Information not available

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Top Industries

By visitors reading reviews

University

11%

Computer Software Company

11%

Financial Services Firm

10%

Educational Organization

No data available

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.

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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 Azure Machine Learning Studio vs Altair RapidMiner

Compared 3% of the time

More Altair RapidMiner Competitors

No data available

Product Reports

Buyer's Guide

Altair RapidMiner

February 2025

Download Altair RapidMiner product report

Buyer's Guide

Predictive Analytics

February 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

Information not available

IBM

Sample Customers

PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen

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, RapidMiner and others in Predictive Analytics. Updated: February 2025.

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