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."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."
"It allows for manipulation and automation, which has greatly reduced the amount of time required per project."
"The scheduling within the solution is excellent."
"It saves time on a lot projects. "
"There are a lot of good customization capabilities."
"Alteryx has a good UI. We use it frequently in our projects. The tool comes with drag-and-drop features and is easy to understand for business needs. One situation where Alteryx's advanced analytics capabilities were particularly beneficial for us was during a forecasting project. Unlike Python, which requires coding, Alteryx simplifies the process significantly. With Alteryx, users can adjust parameters within the user interface without writing any code."
"Alteryx is so advanced. It's just drag and drop."
"We value the collaboration and governance features because it's a comprehensive platform that covers everything from data extraction to modeling operations in the ML language. RapidMiner is competitive in the ML space."
"The most valuable features are the Binary classification and Auto Model."
"It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive."
"What I like about RapidMiner is its all-in-one nature, which allows me to prepare, extract, transform, and load data within the same tool."
"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."
"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."
"RapidMiner for Windows is an excellent graphical tool for data science."
"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."
"Sometimes workflows tend to queue up, and they tend to get canceled for some reason that we don't know sometimes."
"It is a little bit pricey."
"All of the reports are migrated or exported in an Excel file, and most of the time, a business intelligence tool is required. They could have better reporting. The aesthetic could be improved."
"Configuration is very low."
"More statistics tools: We can use to compare SPSS statistics with some automated advisory."
"There are no ready models to use in analytics."
"The only area where the product lags is documentation and videos on the analytical app and the batch macro."
"The solution could improve in the visualization."
"It would be helpful to have some tutorials on communicating with Python."
"I think that they should make deep learning models easier."
"RapidMiner isn't cheap. It's a complete solution, but it's costly."
"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."
"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."
"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 price of this solution should be improved."
"RapidMiner can improve deep learning by enhancing the features."
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)