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."Alteryx is a low-code platform, and that's the biggest reason why we chose it."
"There are a lot of good customization capabilities."
"Predictive models, which are easy to use, and help a lot with fast design and deployment."
"The most valuable feature of Alteryx is its performance. It is a powerful solution."
"The product is very stable and super fast, five-star. It's significantly more stable than it's nearest competitor."
"Alteryx has made us more agile and increased the speed and effectiveness of decision making."
"One-stop shop for data preparation, blending, prediction, and optimization in a single workflow."
"The support is very good."
"RapidMiner is very easy to use."
"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."
"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."
"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 GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."
"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."
"The data science, collaboration, and IDN are very, very strong."
"They should work on its pricing."
"It would be nice if they can provide Alteryx with more options for In-DB connectivity. That functionality is there, but it doesn't include all software we are connecting."
"It seems to me that it is not always user friendly."
"I think sometimes the solution doesn't load properly or takes so much time for the workflows. Though the workflow runs and completes the file in Excel, if you use the same formula, it's a bit slow. Also, the image processing is not so good because I tried to do some image processing and they were like, sometimes they put two to eight. In the document, it was two, but the OCR predicted it as eight."
"It's a technical product and those that don't have proper training will have to deal with a steep learning curve."
"The principal problem is the pricing. They're expensive products."
"The formula we currently use in Alteryx can be automated."
"More statistics tools: We can use to compare SPSS statistics with some automated advisory."
"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."
"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."
"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."
"RapidMiner isn't cheap. It's a complete solution, but it's costly."
"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."
"If they could include video tutorials, people would find that quite helpful."
Alteryx is ranked 1st in Predictive Analytics with 74 reviews while RapidMiner is ranked 2nd in Predictive Analytics with 19 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 "Offers good tutorials that make it easy to learn and use, with a powerful feature to compare machine learning algorithms". Alteryx is most compared with KNIME, Databricks, Dataiku Data Science Studio, Microsoft Power BI and Qlik Sense, whereas RapidMiner is most compared with KNIME, Dataiku Data Science Studio, 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.
We monitor all Predictive Analytics 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.
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)