"Alteryx speeds up the time to obtain business answers/insights on data."
"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 design portion of this tool is easy to use without code, which his something that something we can appreciate."
"The product's Macros probably are one of the most useful aspects."
"The solution has been stable."
"The support is very good."
"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 Alteryx is user-friendliness."
"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."
"The best part of RapidMiner is efficiency."
"The data science, collaboration, and IDN are very, very strong."
"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."
"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."
"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 is just as complicated as coding, in my opinion."
"The only weakness I would say is on the visualization side of having that dynamic incapability."
"Sometimes workflows tend to queue up, and they tend to get canceled for some reason that we don't know sometimes."
"We are hoping that the NLP features will also support Chinese characters."
"Deep learning models are not currently supported."
"The server is too expensive for what you get and it really a designer desktop on a server."
"The principal problem is the pricing. They're expensive products."
"I think that they should make deep learning models easier."
"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 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."
"In the Mexican or Latin American market, it's kind of pricey."
"I would like to see all users have access to all of the deep learning models, and that they can be used easily."
"RapidMiner isn't cheap. It's a complete solution, but it's costly."
"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."
Alteryx is a self-service data analytics solution, that provides a platform that can prep, blend, and analyze all of your data, then deploy and share analytics in hours. It can automate time-consuming and manual data tasks while performing predictive, statistical, and spatial analytics in the same workflow. It uses a drag and drop tool with an intuitive user interface with no coding and programming required. Alteryx licenses are subscription-based and include all product updates and support to their customers.
RapidMiner's unified data science platform accelerates the building of complete analytical workflows - from data prep to machine learning to model validation to deployment - in a single environment, improving efficiency and shortening the time to value for data science projects.
Alteryx is ranked 1st in Predictive Analytics with 28 reviews while RapidMiner is ranked 3rd in Predictive Analytics with 7 reviews. Alteryx is rated 8.2, while RapidMiner is rated 8.6. The top reviewer of Alteryx writes "Efficient, with great automation capabilities but technical support is not as good as it once was". On the other hand, the top reviewer of RapidMiner writes "Extensive features, Turbo Prep, Auto ML, good GUI and good stability". Alteryx is most compared with KNIME, Dataiku Data Science Studio, Databricks, SAS Enterprise Guide and Microsoft BI, whereas RapidMiner is most compared with KNIME, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio, DataRobot and Tableau. See our Alteryx vs. RapidMiner report.
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