We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"This solution is easy to use and it can be used to create any kind of model."
"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 open-source product can compete with category leaders in ELT software."
"From a user-friendliness perspective, it's a great tool."
"This solution is easy to use and especially good at data preparation and wrapping."
"KNIME is quite scalable, which is one of the most important features that we found."
"It can handle an unlimited amount of data, which is the advantage of using Knime."
"What I like the most is that it works almost out of the box with Random Forest and other Forest nodes."
"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 most valuable features are the Binary classification and Auto Model."
"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."
"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."
"RapidMiner is very easy to use."
"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 is what the product sets out to do, which is extracting information and data."
"There should be better documentation and the steps should be easier."
"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."
"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."
"KNIME needs to provide more documentation and training materials, including webinars or online seminars."
"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."
"If they had a more structured training model it would be very helpful."
"From the point of view of the interface, they can do a little bit better."
"The predefined workflows could use a bit of improvement."
"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 would like to see all users have access to all of the deep learning models, and that they can be used easily."
"In the Mexican or Latin American market, it's kind of pricey."
"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."
"RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."
"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."
"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."
"It's an open-source solution."
"KNIME assets are stand alone, as the solution is open source."
"The price for Knime is okay."
"The price of KNIME is quite reasonable and the designer tool can be used free of charge."
"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."
"There is a Community Edition and paid versions available."
"At this time, I am using the free version of Knime."
"This is an open-source solution that is free to use."
"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."
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.
KNIME is ranked 3rd in Data Science Platforms with 15 reviews while RapidMiner is ranked 6th in Data Science Platforms with 9 reviews. KNIME is rated 8.2, while RapidMiner is rated 8.6. 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, Databricks, Weka, Microsoft Azure Machine Learning Studio and Dataiku Data Science Studio, whereas RapidMiner is most compared with Alteryx, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio, DataRobot and Tableau. See our KNIME vs. RapidMiner report.
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We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.