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."Shortens the time required to start analyzing data and looking for insights, minimizing the tasks that do not add value to the business and maximizing the analysis phase."
"The value add of Alteryx is the agility for making changes, and speed of deployment."
"The most valuable feature of Alteryx is its unlimited handling capabilities."
"I like the solution's velocity, the speed with which it processes data, and its ease of use."
"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 connectors are a very good feature."
"The drag-and-drop features are useful for data scientists who do not like to code because it is already in the system."
"All of the data science features in terms of unioning and joining data together are valuable."
"The most valuable feature is what the product sets out to do, which is extracting information and data."
"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."
"The solution is stable."
"The data science, collaboration, and IDN are very, very strong."
"The best part of RapidMiner is efficiency."
"I've been using a lot of components from the Strategic Extension and Python Extension."
"The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS."
"When a process completes there is a notification, but the notification does not include the process's name."
"Alteryx can improve in data science. They have to have more features and components in the data science aspect because they claim to be a data science tool. However, in order to be more competitive, they have to improve on their data science propositions. Thre are other solutions on the market, such as other players in the market, Data2Go or DataIQ, and Alteryx needs to catch up."
"The technical support could have a little bit of improvement."
"The solution is improving continuously. They have, for example, just added automatic insights. If they continue to improve on their overall service offering, that would be ideal."
"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."
"I'd like it to be easier to work with PDF."
"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 is a little bit pricey."
"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."
"The price of this solution should be improved."
"I would appreciate improvements in automation and customization options to further streamline processes."
"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."
"RapidMiner can improve deep learning by enhancing the features."
"In the Mexican or Latin American market, it's kind of pricey."
"I would like to see more integration capabilities."
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.
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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)