We performed a comparison between Alteryx and RapidMiner based on real PeerSpot user reviews.
Find out in this report how the two Predictive Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most valuable feature is user-friendliness, as Alteryx can be used by those without any coding experience or experienced data scientists as it has the functionality to embed R and Python scripts."
"The three data signs and data engineering are great features."
"The feature that I have found most valuable for Alteryx is its geo-referencing feature, it is very good. I use it a lot, especially for supply chain."
"The drag-and-drop features are useful for data scientists who do not like to code because it is already in the system."
"The modeling features are very good."
"The tools are built-in. You just plug and play, drag and drop, once you understand how to use the tools, it is easy."
"The most valuable feature of Alteryx is user-friendliness."
"Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful."
"The solution is stable."
"The most valuable feature is what the product sets out to do, which is extracting information and data."
"RapidMiner is very easy to use."
"The best part of RapidMiner is efficiency."
"RapidMiner for Windows is an excellent graphical tool for data science."
"The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS."
"I like not having to write all solutions from code. Being able to drag and drop controls, enables me to focus on building the best model, without needing to search for syntax errors or extra libraries."
"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."
"It's a technical product and those that don't have proper training will have to deal with a steep learning curve."
"They should work on its pricing."
"I'd like to see more artificial intelligence business tools or features in Alteryx."
"The scalability worries me a lot at the moment because the cost of the solution is high and it is not growing considerably. Unfortunately, we started during early COVID times and because of the economic downturn, all the cost cuttings, and everything, it is not growing as expected."
"Alteryx's predictive data models are pretty average and can be improved."
"A colleague of mind mentioned that the solution should have more options for the visualization of data."
"Alteryx could be improved in the area of analytics and central governance."
"The solution could improve in the visualization."
"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."
"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."
"A great product but confusing in some way with regard to the user interface and integration with other tools."
"I would appreciate improvements in automation and customization options to further streamline processes."
"If they could include video tutorials, people would find that quite helpful."
"In the Mexican or Latin American market, it's kind of pricey."
"RapidMiner isn't cheap. It's a complete solution, but it's costly."
"I think that they should make deep learning models easier."
Alteryx is ranked 1st in Predictive Analytics with 74 reviews while RapidMiner is ranked 3rd in Predictive Analytics with 20 reviews. Alteryx is rated 8.4, while RapidMiner is rated 8.6. The top reviewer of Alteryx writes "Feature-rich ETL that condenses a number of functions into one tool". On the other hand, the top reviewer of RapidMiner writes "A no-code tool that helps to build machine learning models ". Alteryx is most compared with KNIME, Dataiku, Databricks, Tableau and Microsoft Power BI, whereas RapidMiner is most compared with KNIME, Dataiku, Tableau, Microsoft Azure Machine Learning Studio and IBM SPSS Modeler. See our Alteryx vs. RapidMiner report.
See our list of best Predictive Analytics vendors and best Data Science Platforms vendors.
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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)