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KNIME vs RapidMiner comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 12, 2025

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

KNIME
Ranking in Data Science Platforms
2nd
Average Rating
8.0
Reviews Sentiment
7.1
Number of Reviews
59
Ranking in other categories
Data Mining (1st)
RapidMiner
Ranking in Data Science Platforms
6th
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
22
Ranking in other categories
Predictive Analytics (3rd)
 

Mindshare comparison

As of February 2025, in the Data Science Platforms category, the mindshare of KNIME is 11.4%, up from 9.6% compared to the previous year. The mindshare of RapidMiner is 7.7%, up from 6.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
 

Q&A Highlights

AP
Nov 02, 2023
 

Featured Reviews

Shyam_Sridhar - PeerSpot reviewer
Good for data analysis to model prediction and application but data load limitations
KNIME is very easy to handle and use. Anyone can use it, and it's easy to learn. You don't need a specific class. They're very good at model prediction. It has got everything. From data analysis to model prediction and application, it's very good. I only use the free community edition, not the enterprise one. I feel KNIME is really good. I haven't tried any other tool or platform yet, but KNIME is pretty good. The workflow is great. You drag and drop, and then you have the data explorer and charts that give results. The execution is also good – it's easy to identify where your model has gone wrong. It shows you the exact point of error within the workflow, so you don't have to execute the entire workflow to find it. For example, if your workflow has ten steps and the error is in the sixth step, it will show you the error at that step. You don't have to worry about the first five steps. The Data Explorer is very good, and the charts are great too. The accuracy charts for different models, like decision tree, K3, Naive Bayes, are all very good. KNIME is great at reporting, whether it's structured or unstructured data. These are all very good features.
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

"It's very convenient to write your own algorithms in KNIME. You can write it in Java script or Python transcript."
"The ETL which helps me to collect, reformat, and load the data from multiple sources into one destination, a storage database."
"It has allowed us to easily implement advanced analytics into various processes."
"The most valuable feature is the data wrangling, which is what I mainly use it for."
"It's a huge tool with machine learning features as well."
"Easy to connect with every database: We use queries from SQL, Redshift, Oracle."
"The most valuable features of KNIME are its ability to convert your sub-workflow into a node. For example, the workflow has many individual native nodes that can be converted into a single node. This representation has simplified my workflow to a great extent. I can present my workflow in a very compact way."
"It is possible to configure the system to effectively manage memory and space requirements."
"The documentation for this solution is very good, where each operator is explained with how to use it."
"The most valuable feature is what the product sets out to do, which is extracting information and data."
"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."
"The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS."
"RapidMiner is very easy to use."
"It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive."
"I've been using a lot of components from the Strategic Extension and Python Extension."
"The best part of RapidMiner is efficiency."
 

Cons

"KNIME is not scalable."
"The license is quite expensive for us."
"In the last update, KNIME started hiding a lot of the nodes. It doesn't mean hiding, but you need to know what you're looking for. Before that, you had just a tree that you could click, and you could get an overview of what kind of nodes do I have. Right now, it's like you need to know which node you need, and then you can start typing, but it's actually more difficult to find them."
"Sometimes, we needed more space to handle larger operations, especially since our machines had limited space and memory due to Kubernetes clusters."
"When deploying models on a regular system, it works fine. However, when accuracy is a priority, hyperparameter tuning is necessary. Currently, KNIME doesn't have the best tools for this which they could improve in this area."
"It's very general in terms of architecture, and as a result, it doesn't support efficient running. That is, the speed needs to be improved."
"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."
"KNIME is not good at visualization."
"I would like to see more integration capabilities."
"Improve the online data services."
"In the Mexican or Latin American market, it's kind of pricey."
"RapidMiner can improve deep learning by enhancing the features."
"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."
"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."
"The product must provide data-cleaning features."
"The price of this solution should be improved."
 

Pricing and Cost Advice

"There is no cost for using KNIME because it is an open-source solution, but you have to pay if you need a server."
"KNIME is a cost-effective solution because it’s free of cost."
"KNIME is a cheap product. I currently use KNIME's open-source version."
"This is a free open-source solution."
"KNIME Business Hub is expensive for small companies."
"KNIME is free and open source."
"I use the tool's free version."
"The client versions are mostly free, and we pay only for the KNIME server version. It's not a cheap solution."
"For the university, the cost of the solution is free for the students and teachers."
"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'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."
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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
13%
Manufacturing Company
12%
Computer Software Company
9%
Educational Organization
7%
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 do you like most about KNIME?
Since KNIME is a no-code platform, it is easy to work with.
What is your experience regarding pricing and costs for KNIME?
I rate the product’s pricing a seven out of ten, where one is cheap and ten is expensive.
What needs improvement with KNIME?
For graphics, the interface is a little confusing. So, this is a point that could be improved.
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

 

Also Known As

KNIME Analytics Platform
No data available
 

Overview

 

Sample Customers

Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen
Find out what your peers are saying about KNIME vs. RapidMiner and other solutions. Updated: January 2025.
838,737 professionals have used our research since 2012.