Compare KNIME vs. RapidMiner

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KNIME Logo
Read 11 KNIME reviews.
25,270 views|19,094 comparisons
RapidMiner Logo
9,159 views|7,363 comparisons
Most Helpful Review
Hemant Addal
Find out what your peers are saying about KNIME vs. RapidMiner and other solutions. Updated: January 2021.
456,719 professionals have used our research since 2012.
Quotes From Members

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

Pros
"This open-source product can compete with category leaders in ELT software.""The visual workflow tools for custom and complex tasks always beat raw coding languages with the agility, speed to deliver, and ease of subsequent changes.""This solution is easy to use and especially good at data preparation and wrapping.""It's a coding-less opportunity to use AI. This is the major value for me.""This solution is easy to use and it can be used to create any kind of model.""All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function.""What I like the most is that it works almost out of the box with Random Forest and other Forest nodes.""It is very fast to develop solutions."

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"The documentation for this solution is very good, where each operator is explained with how to use it.""RapidMiner is very easy to use.""The most valuable features are the Binary classification and Auto Model.""The most valuable feature is what the product sets out to do, which is extracting information and data.""The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS.""Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations.""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."

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Cons
"The ability to handle large amounts of data and performance in processing need to be improved.""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.""It needs more examples, use cases, and MOOC to learn, especially with respect to the algorithms and how to practically create a flow from end-to-end.""There should be better documentation and the steps should be easier.""KNIME needs to provide more documentation and training materials, including webinars or online seminars.""The predefined workflows could use a bit of improvement.""The documentation is lacking and it could be better.""There are a lot of tools in the product and it would help if they were grouped into classes where you can select a function, rather than a specific tool."

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"The price of this solution should be improved.""I would like to see all users have access to all of the deep learning models, and that they can be used easily.""RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models.""A great product but confusing in some way with regard to the user interface and integration with other tools.""It would be helpful to have some tutorials on communicating with Python.""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.""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."

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Pricing and Cost Advice
"KNIME is free as a stand-alone desktop-based platform but if you want to get a KNIME server then you can find the cost on their website.""The price of KNIME is quite reasonable and the designer tool can be used free of charge.""It's an open-source solution.""The price for Knime is okay.""At this time, I am using the free version of Knime."

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"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.""The client only has to pay the licensing costs. There are not any maintenance or hidden costs in addition to the license."

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Questions from the Community
Top Answer: This solution is easy to use and it can be used to create any kind of model.
Top Answer: The price of KNIME is quite reasonable and the designer tool can be used free of charge.
Top Answer: We are worried about the performance when it comes to using a lot of data that has many rows and columns. On the server-side, we are not sure whether KNIME can manage or handle large amounts of data… more »
Top Answer: The best part of RapidMiner is efficiency.
Top Answer: I have the deep learning models on my laptop but it doesn't work very well. I think that they should make deep learning models easier. They are using deep learning models today for image processing… more »
Top Answer: The primary use case of RapidMiner is for teaching. I select data and give it to the students to clean. They use several algorithms, they compact them, they evaluate them, then give the results to me.
Ranking
3rd
Views
25,270
Comparisons
19,094
Reviews
10
Average Words per Review
497
Rating
8.4
7th
Views
9,159
Comparisons
7,363
Reviews
8
Average Words per Review
657
Rating
8.4
Popular Comparisons
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Compared 6% of the time.
Compared 5% of the time.
Compared 23% of the time.
Compared 6% of the time.
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Compared 4% of the time.
Also Known As
KNIME Analytics Platform
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Knime
RapidMiner
Overview
KNIME is the leading open platform for data-driven innovation helping organizations to stay ahead of change. Use our open-source, enterprise-grade analytics platform to discover the potential hidden in your data, mine for fresh insights or predict new futures.

RapidMiner's unified data science platform accelerates the building of complete analytical workflows - from data prep to machine learning to model validation to deployment - in a single environment, improving efficiency and shortening the time to value for data science projects.

Offer
Learn more about KNIME
Learn more about RapidMiner
Sample Customers
Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AGPayPal, Deloitte, eBay, Cisco, Miele, Volkswagen
Top Industries
REVIEWERS
Comms Service Provider20%
Retailer20%
University20%
Energy/Utilities Company10%
VISITORS READING REVIEWS
Computer Software Company22%
Comms Service Provider19%
Educational Organization7%
Manufacturing Company6%
REVIEWERS
University43%
Energy/Utilities Company14%
Educational Organization14%
Engineering Company14%
VISITORS READING REVIEWS
Computer Software Company24%
Comms Service Provider19%
University10%
Government6%
Company Size
REVIEWERS
Small Business29%
Midsize Enterprise38%
Large Enterprise33%
REVIEWERS
Small Business58%
Midsize Enterprise8%
Large Enterprise33%
VISITORS READING REVIEWS
Small Business32%
Midsize Enterprise3%
Large Enterprise65%
Find out what your peers are saying about KNIME vs. RapidMiner and other solutions. Updated: January 2021.
456,719 professionals have used our research since 2012.

KNIME is ranked 3rd in Data Science Platforms with 11 reviews while RapidMiner is ranked 7th in Data Science Platforms with 8 reviews. KNIME is rated 8.4, while RapidMiner is rated 8.4. The top reviewer of KNIME writes "Has good machine learning and big data connectivity but the scheduler needs improvement ". On the other hand, the top reviewer of RapidMiner writes "Offers good tutorials that make it easy to learn and use, with a powerful feature to compare machine learning algorithms". KNIME is most compared with Alteryx, Weka, Dataiku Data Science Studio, H2O.ai and Databricks, whereas RapidMiner is most compared with Alteryx, Dataiku Data Science Studio, IBM SPSS Modeler, Tableau and DataRobot. See our KNIME vs. RapidMiner report.

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