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Alteryx vs RapidMiner comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 5, 2024

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

Alteryx
Ranking in Predictive Analytics
1st
Ranking in Data Science Platforms
4th
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
81
Ranking in other categories
Data Preparation Tools (1st)
RapidMiner
Ranking in Predictive Analytics
3rd
Ranking in Data Science Platforms
6th
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
22
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2025, in the Predictive Analytics category, the mindshare of Alteryx is 23.1%, down from 26.2% compared to the previous year. The mindshare of RapidMiner is 16.6%, down from 20.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Predictive Analytics
 

Q&A Highlights

AP
Nov 02, 2023
 

Featured Reviews

Theresa McLaughlin - PeerSpot reviewer
Quick development enables seamless data processing despite occasional support issues
There were times when the product would fail during development without an apparent reason. The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system. Licensing negotiations were problematic, affecting our product usage. For instance, our licenses were temporarily lost during negotiations when an agreement couldn't be reached.
Rathnam Makam - PeerSpot reviewer
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.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The tools are built-in. You just plug and play, drag and drop, once you understand how to use the tools, it is easy."
"Once we got it in-house, I knew its value."
"The most valuable feature is user-friendliness, as Alteryx can be used by those without any coding experience or experienced data scientists as it has the functionality to embed R and Python scripts."
"The most valuable feature of Alteryx is its performance. It is a powerful solution."
"Alteryx has a good UI. We use it frequently in our projects. The tool comes with drag-and-drop features and is easy to understand for business needs. One situation where Alteryx's advanced analytics capabilities were particularly beneficial for us was during a forecasting project. Unlike Python, which requires coding, Alteryx simplifies the process significantly. With Alteryx, users can adjust parameters within the user interface without writing any code."
"The ease-of-use allows non-technical business users to directly create their own solutions without the use of additional development resources."
"The support is very good."
"Alteryx significantly reduces the time spent searching for specific information."
"The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS."
"The data science, collaboration, and IDN are very, very strong."
"The solution is very intuitive and powerful."
"The best part of RapidMiner is efficiency."
"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."
"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 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."
"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."
 

Cons

"We can't browse multiple files. When we deploy a solution on a gallery, let's say I have ten different files, and I have to upload them all at once. This is something that's difficult in the gallery. So case by case, I see some downsides, but often we do something alternative."
"There are a few hiccups with specific data sets and languages or formats that the data comes in. That may be a minor problem, but we can work through it. We had some issues looking at XML format in added data, but it wasn't significant."
"Even when it already includes some AI models, this area could be improved."
"It's a technical product and those that don't have proper training will have to deal with a steep learning curve."
"When configuring target tables, it is difficult to see the full text when deciding on load operations."
"There's a big jump in terms of pricing between license tiers. I'm not sure I understand why the price jumps are so high."
"The pricing seems high for my current needs. However, considering the benefits, it is easier to justify to management for broader company usage."
"The solution can be made more affordable."
"RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."
"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."
"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."
"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."
"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."
"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."
 

Pricing and Cost Advice

"Its price should be lower. The key thing that we see is that talking about ROI is an important element at the time of purchase. Cost becomes a factor in every discussion. Justifying the ROI for these kinds of workflows is always a challenge, and the only way to counter the challenge is by addressing the pricing."
"The price for Alteryx Designer is reasonable but the price for Alteryx Server for universal collaborations is too expensive."
"The seat is too expensive."
"We have a yearly cost that we pay for the licensing. We do not pay any costs in addition to the licensing fees."
"It has a good price."
"It can be a bit pricey, especially after the first year."
"My organization pays for it, and I do not look into the financial aspect of the licensing, but I know it is pretty expensive."
"The desktop platform costs $5,000 per year. It's very costly."
"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."
"I used an educational license for this solution, which is available free of charge."
"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."
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Answers from the Community

AP
Nov 2, 2023
Nov 2, 2023
I'd suggest checking out the new Actable AI as well. It has a better AutoML and a lot more advanced features like Causal ML.
See 2 answers
TH
Apr 15, 2023
I'd suggest checking out the new Actable AI as well. It has a better AutoML and a lot more advanced features like Causal ML.
AltanAtabarut - PeerSpot reviewer
Nov 2, 2023
Of those three you should consider alteryx, it saves time in ETL a lot,  Alteryx is better at handling large data sets than Knime and RapidMiner. But please also consider Dataiku... Up to 3 users it's free ;o)
 

Top Industries

By visitors reading reviews
Financial Services Firm
24%
Manufacturing Company
10%
Computer Software Company
9%
Healthcare Company
6%
University
11%
Computer Software Company
11%
Financial Services Firm
10%
Educational Organization
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
One of the differences is that with Alteryx you can use it as an ETL and analytics tool. Please connect with me directly if you want to know more.
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
Alteryx is an extremely easy and flexible data tool, flexible in terms of drag and drop toolset and also has python, R integrations if your team requires this. It can handle over 2 billion rows of...
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
I am not familiar with IBM SPSS Modeler, therefore, I cannot compare these two products. Regarding Alteryx I can say the following: - An excellent desktop tool for Data Prep and analytics. - Featu...
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

 

Overview

 

Sample Customers

AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen
Find out what your peers are saying about Alteryx vs. RapidMiner and other solutions. Updated: February 2025.
838,737 professionals have used our research since 2012.