Comparison Buyer's Guide

Executive SummaryUpdated on Mar 6, 2024

Categories and Ranking

Ranking in Data Science Platforms
Average Rating
Number of Reviews
Ranking in other categories
Data Mining (1st)
Ranking in Data Science Platforms
Average Rating
Number of Reviews
Ranking in other categories
Predictive Analytics (3rd)

Mindshare comparison

As of June 2024, in the Data Science Platforms category, the mindshare of KNIME is 11.8%, up from 8.9% compared to the previous year. The mindshare of RapidMiner is 8.3%, up from 6.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
Unique Categories:
Data Mining
Predictive Analytics

Q&A Highlights

Nov 02, 2023

Featured Reviews

Jan 10, 2023
Simple to learn, useful no code platform, and quick and efficient
There are many valuable features in KNIME. One of the most useful aspects is that it can read a wide variety of data file types. Additionally, the ability to manipulate data, such as deleting rows or columns, is very helpful. I also use many of the nodes for analyzing data, such as doing frequencies and cross tabs. I have used it for machine learning tasks, like decision trees and random forests. It also has neural network capabilities, but I am not an expert in that area, so I cannot comment on it. It's a very powerful and simple tool to use. KNIME has met all of my needs so far. It has excellent data visualization capabilities. Additionally, it has a text analysis package, which I haven't used. However, I am satisfied with the features currently available and it has a strong support community.
Aug 19, 2022
Effective no code design, reliable, and simple to use
I am a university professor in engineering and I am using RapidMiner for teaching. I use all the utilities of the software to illustrate some of the courses that I provide in data mining. I use the software everywhere I need it The most valuable feature of RapidMiner is that it is code free. It…

Quotes from Members

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


"The product is open-source and therefore free to use."
"Easy to connect with every database: We use queries from SQL, Redshift, Oracle."
"It allows for a user-friendly approach where you can simply drag and drop elements to create your model, which is a convenient and effective idea."
"We can deploy the solution in a cluster as well."
"KNIME is easy to learn."
"Clear view of the data at every step of ETL process enables changing the flow as needed."
"Valuable features include visual workflow creation, workflow variables (parameterisation), automatic caching of all intermediate data sets in the workflow, scheduling with the server."
"There are a lot of connectors available in KNIME."
"We value the collaboration and governance features because it's a comprehensive platform that covers everything from data extraction to modeling operations in the ML language. RapidMiner is competitive in the ML space."
"The solution is very intuitive and powerful."
"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 best part of RapidMiner is efficiency."
"The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."
"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."
"The documentation for this solution is very good, where each operator is explained with how to use it."
"Using the GUI, I can have models and algorithms drag and drop nodes."


"Compared to the other data tools on the market, the user interface can be improved."
"The graphic features of KNIME need improvement"
"​The data visualization part is the area most in need of improvement."
"The most difficult part of the solution revolves around its areas concerning machine learning and deep learning."
"I would like to see better web scraping because every time I tried, it was not up to par, although you can use Python script."
"The main issue with KNIME is that it sometimes uses too much CPU and RAM when working with large amounts of data."
"KNIME's documentation is not strong."
"The license is quite expensive for us."
"RapidMiner can improve deep learning by enhancing the features."
"I would like to see more integration capabilities."
"I think that they should make deep learning models easier."
"A great product but confusing in some way with regard to the user interface and integration with other tools."
"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."
"In the Mexican or Latin American market, it's kind of pricey."
"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

"KNIME is a cheap product. I currently use KNIME's open-source version."
"KNIME is an open-source tool, so it's free to use."
"It's an open-source solution."
"This is a free open-source solution."
"KNIME is a cost-effective solution because it’s free of cost."
"With KNIME, you can use the desktop version free of charge as much as you like. I've yet to hit its limits. If I did, I'd have to go to the server version, and for that you have to pay. Fortunately, I don't have to at the moment."
"KNIME desktop is free, which is great for analytics teams. Server is well priced, depending on how much support is required."
"Scaling to the on-premises version requires a licensing fee per user that is a bit expensive in comparison to R, Python, and SAS."
"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."
"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."
"For the university, the cost of the solution is free for the students and teachers."
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Answers from the Community

Nov 2, 2023
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 tan Knime and RapidMiner. But please also consider Dataiku... Up to 3 users it's free ;o)
See 2 answers
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 tan Knime and RapidMiner. But please also consider Dataiku... Up to 3 users it's free ;o)

Top Industries

By visitors reading reviews
Manufacturing Company
Financial Services Firm
Computer Software Company
Educational Organization
Computer Software Company
Educational Organization
Manufacturing Company

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?
We're using the free academic license just locally. I went for KNIME because they have a free academic license. And to be honest, I never bothered to check the prices.
What needs improvement with KNIME?
KNIME is not good at visualization. I would like to see NLQ (Natural language query) and automated visualizations added to KNIME.
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 needs improvement with RapidMiner?
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 t...



Also Known As

KNIME Analytics Platform
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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: May 2024.
789,291 professionals have used our research since 2012.