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IBM Predictive Analytics vs RapidMiner comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

IBM Predictive Analytics
Ranking in Predictive Analytics
20th
Average Rating
7.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
RapidMiner
Ranking in Predictive Analytics
3rd
Average Rating
8.6
Number of Reviews
22
Ranking in other categories
Data Science Platforms (6th)
 

Mindshare comparison

As of November 2024, in the Predictive Analytics category, the mindshare of IBM Predictive Analytics is 0.8%, up from 0.4% compared to the previous year. The mindshare of RapidMiner is 17.3%, down from 20.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Predictive Analytics
 

Featured Reviews

LE
Jan 12, 2020
Good prediction capability for marketing purposes, although it needs to be more flexible
I usually deal with marketing and I use IBM Predictive Analytics for data mining. At this time, we are not using it because we are working with another company in a niche area with a specialized algorithm in artificial intelligence Our most recent use case was related to the proposition of…
Rathnam Makam - PeerSpot reviewer
May 7, 2024
A no-code tool that helps to build machine learning models
I use the tool for educational purposes to mentor students. I use it in various educational projects and real-world customer use cases. It helps me to build machine learning models such as clustering, decision trees, and time series analysis RapidMiner is a no-code machine learning tool. I can…

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."
"Using the GUI, I can have models and algorithms drag and drop nodes."
"The documentation for this solution is very good, where each operator is explained with how to use it."
"The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS."
"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"
"RapidMiner for Windows is an excellent graphical tool for data science."
"The most valuable features are the Binary classification and Auto Model."
"The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."
"RapidMiner is very easy to use."
 

Cons

"Using IBM Predictive Analytics requires more skill, resources, and training than some other solutions."
"The price of this solution should be improved."
"The product must provide data-cleaning features."
"A great product but confusing in some way with regard to the user interface and integration with other tools."
"RapidMiner can improve deep learning by enhancing the features."
"It would be helpful to have some tutorials on communicating with Python."
"RapidMiner isn't cheap. It's a complete solution, but it's costly."
"If they could include video tutorials, people would find that quite helpful."
"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."
 

Pricing and Cost Advice

Information not available
"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."
"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."
"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."
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814,763 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
University
11%
Computer Software Company
10%
Educational Organization
10%
Financial Services Firm
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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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...
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.
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.
 

Comparisons

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Overview

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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: November 2024.
814,763 professionals have used our research since 2012.