IBM Predictive Analytics vs RapidMiner comparison

IBM and RapidMiner are both solutions in the Predictive Analytics category. IBM is ranked #19, while RapidMiner is ranked #3 with an average rating of 8.3. IBM holds a 0.7% mindshare in PA, compared to RapidMiner’s 16.7% mindshare. Additionally, 100% of IBM users are willing to recommend the solution, compared to 95% of RapidMiner users who would recommend it.

IBM Predictive Analytics

Read 1 IBM Predictive Analytics review

46 Views
21 Comparison Views

100% willing to recommend

RapidMiner

Read 22 RapidMiner reviews

996 Views
832 Comparison Views

95% willing to recommend

IBM Predictive Analytics

RapidMiner

Comparison Buyer's Guide

Download the report

Executive Summary

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

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

To learn more, read our detailed Predictive Analytics Report (Updated: December 2024).

Buyer's Guide

Predictive Analytics

December 2024

Download the complete report

Helped 824,053 peers since 2012

Categories and Ranking

IBM Predictive Analytics

Ranking in Predictive Analytics

19th

Average Rating

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

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)

Mindshare comparison

As of December 2024, in the Predictive Analytics category, the mindshare of IBM Predictive Analytics is 0.7%, up from 0.5% compared to the previous year. The mindshare of RapidMiner is 16.7%, down from 20.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Predictive Analytics

Featured Reviews

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.

Read full review

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

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 feature is the predictive capability in marketing use cases."

"The solution is stable."

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

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

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

"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 solution is very intuitive and powerful."

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

More RapidMiner pros

Cons

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

"The product must provide data-cleaning features."

"I would like to see more integration capabilities."

"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 think that they should make deep learning models easier."

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

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

"The price of this solution should be improved."

"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."

More RapidMiner cons

Pricing and Cost Advice

Information not available

"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."

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

"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."

"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."

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

824,053 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

University

12%

Computer Software Company

10%

Educational Organization

10%

Financial Services Firm

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

Ask a question

Earn 20 points

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

Comparisons

No data available

KNIME vs RapidMiner

Compared 51% of the time

Dataiku vs RapidMiner

Compared 16% of the time

Alteryx vs RapidMiner

Compared 9% of the time

Tableau vs RapidMiner

Compared 6% of the time

Microsoft Azure Machine Learning Studio vs RapidMiner

Compared 4% of the time

More RapidMiner Competitors

Product Reports

Buyer's Guide

Predictive Analytics

December 2024

Download IBM Predictive Analytics product report

Buyer's Guide

RapidMiner

December 2024

Download RapidMiner product report

Learn More

IBM

RapidMiner

Overview

Information not available

RapidMiner's unified data science platform accelerates the building of complete analytical workflows - from data prep to machine learning to model validation to deployment - in a single environment, improving efficiency and shortening the time to value for data science projects.

Sample Customers

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.

PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen

Find out what your peers are saying about Alteryx, SAP, RapidMiner and others in Predictive Analytics. Updated: December 2024.

DOWNLOAD NOW

824,053 professionals have used our research since 2012.

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.