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Altair RapidMiner vs Knowage comparison

 

Comparison Buyer's Guide

Executive Summary

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

Altair RapidMiner
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
24
Ranking in other categories
Predictive Analytics (3rd), Data Science Platforms (7th)
Knowage
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
18
Ranking in other categories
BI (Business Intelligence) Tools (33rd), Reporting (25th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Altair RapidMiner is designed for Predictive Analytics and holds a mindshare of 10.9%, down 18.6% compared to last year.
Knowage, on the other hand, focuses on Reporting, holds 1.1% mindshare, up 0.8% since last year.
Predictive Analytics Market Share Distribution
ProductMarket Share (%)
Altair RapidMiner10.9%
Alteryx14.0%
Anaplan13.8%
Other61.3%
Predictive Analytics
Reporting Market Share Distribution
ProductMarket Share (%)
Knowage1.1%
Microsoft Power BI23.8%
Tableau Enterprise20.2%
Other54.9%
Reporting
 

Featured Reviews

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.
BS
Open-source with great embedding capabilities but the dashboards could be better
I know the initial setup is pretty straightforward. It doesn't take a long time to deploy. Even on your own personal computer, when you want to try it out, it doesn't take too long to get it running. For the initial setup, I'd say it's maybe a four out of five in terms of how easy it is. You need to add these Java dependencies and so forth, which can be a bit boring, however, it's almost perfect. To deploy Knowage usually takes about a day. In terms of the implementation strategy, it's just following the instructions that they give us on the installation and then just knowing how to handle the process. Usually, there is a group of engineers who do that for us and manage the server itself. If a team is knowledgeable, then it doesn't take a long time. When you need a new instance, it's very quick. The implementation strategy is based on just following instructions on the installation process from Knowage. For deployment and maintenance, we need just maybe two people simply to monitor the traffic coming in. However, it's maintained by people who were doing other jobs like maintaining our other server. They just monitor the Knowage server and make sure that it's up and running and that there are no bugs. There are not too many bugs coming out from the debugger.

Quotes from Members

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

Pros

"Using the GUI, I can have models and algorithms drag and drop nodes."
"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."
"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."
"RapidMiner for Windows is an excellent graphical tool for data science."
"Altair RapidMiner is easy to use and intuitive with no coding required, making it a low code tool."
"The best part of RapidMiner is efficiency."
"RapidMiner is very easy to use."
"We can easily do our own customizations."
"The embedding feature is great."
"I can't name the features the way the Knowage community calls them because I still don't know the lingo. However, I can describe them. I like the ability to join more than one report, set all fields on one end, and replicate that on the other reports. I like that a lot. I think it's one of the features that got me using Knowage. They have tables, and I like that too. They took SQL scripts and many other scripts and enabled them to even correlate with Python. That's also one of the best things about Knowage. You could also decide to get information per user role, and this is also a feature that I like in Knowage."
"The concept of engines is quite powerful allowing the user to work with report authoring/provisioning tools of their choice."
 

Cons

"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."
"Currently, I am unsure of all the AI features available in Altair RapidMiner, particularly advanced AI capabilities like neural networks and deep learning."
"About twenty-five percent of my problems involve image processing, and I found RapidMiner lacking in this domain. While we work on OCR and similar tasks, RapidMiner hasn't been as engaged in that field as other models. Some other models also support email processing, but RapidMiner doesn't offer this feature."
"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."
"Improve the online data services."
"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 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."
"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."
"The dashboard components could be better."
"Development of SpagoBI has now been moved to Knowage. Users interested in further developments of the platform will have to look there."
"It would be better if more resources were available to help us learn how to use it. I wanted to use Knowage for a more extended period, but learning materials around the product were not really available and were not really straightforward. I've also seen inconsistencies between versions. For example, under the tools, especially in the cockpit, the way you create reports is now different. You will also find some configurations within a particular state, like a line chart, which differs from version to version. I think consistency is an essential feature in a product, especially for business intelligence products."
"The only challenge here is that it's a Java-based platform. It requires very high technical skills."
 

Pricing and Cost Advice

"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."
"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 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."
"Knowage is open-source, and an enterprise edition is also available."
"It allows the implementation of an effective reporting system using internal skills at a limited upfront cost."
report
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Top Industries

By visitors reading reviews
University
11%
Manufacturing Company
10%
Computer Software Company
10%
Educational Organization
9%
Hospitality Company
13%
Government
11%
Insurance Company
9%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise5
Large Enterprise8
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise6
Large Enterprise6
 

Questions from the Community

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 started with a trial version. We are likely to purchase a license, which may offer additional features.
What needs improvement with RapidMiner?
Currently, I am unsure of all the AI features available in Altair RapidMiner, particularly advanced AI capabilities like neural networks and deep learning. It would be beneficial if the platform co...
Ask a question
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Also Known As

No data available
SpagoBI
 

Overview

 

Sample Customers

PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen
FIAT Group, Italian air navigation service provider, Ministry of Education and Science of the Russian Federation, Telecom Italia, ASL Genovese, San Giovanni Battista University Hospital
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