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."Data processing is most valuable. It is one of the fastest data blockers out there in the market, which is a fascinating thing about Alteryx."
"I like that I can merge data from different sources into one place."
"I think the most valuable feature for Alteryx in a health facility is that it permits cleaning, organizing, and merging of databases such as Excel and Access."
"The most valuable feature of Alteryx is its unlimited handling capabilities."
"All of the data science features in terms of unioning and joining data together are valuable."
"The drag-and-drop features are useful for data scientists who do not like to code because it is already in the system."
"The scheduling feature for the automation is excellent."
"The solution has a very strong community that is involved in the product. It helps make the usage easier and helps us find answers to our questions."
"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 solution is stable."
"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."
"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."
"It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive."
"The most valuable features are the Binary classification and Auto Model."
"RapidMiner is very easy to use."
"There are no ready models to use in analytics."
"It should have Linux support. It currently supports only Windows. It does not support any other platform. Its price should also be lower. Their US partner management program is actually unresponsive. One of the reasons why we don't have a formalized partnership plan with them is because their partner management team is atrociously unresponsive. This is something that they need to change."
"We are hoping that the NLP features will also support Chinese characters."
"It seems to me that it is not always user friendly."
"The next feature release should include easier reporting."
"They should work on its pricing."
"I honestly can't think of anything that needs to be improved."
"A feature which allows the user to be able to click on an output (in a file browser) and see the creation of the module would be fantastic."
"RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."
"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."
"Improve the online data services."
"If they could include video tutorials, people would find that quite helpful."
"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."
"I would like to see all users have access to all of the deep learning models, and that they can be used easily."
"I would like to see more integration capabilities."
"It would be helpful to have some tutorials on communicating with Python."
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)