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 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."
"All of the data science features in terms of unioning and joining data together are valuable."
"Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful."
"The ease-of-use allows non-technical business users to directly create their own solutions without the use of additional development resources."
"Alteryx's connectivity is essential. We like the ability to connect the solution to multiple sources. It's easier than other data modeling and extraction solutions. It's built on a self-service concept, so it's easy for anyone to open the tool and directly import or export data from it."
"There are a lot of good customization capabilities."
"The philosophy of the citizen data scientist is the key piece, which means the no-code analytics capability. This is the feature that attracted us the most."
"The analytics are easy."
"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."
"The solution is stable."
"Using the GUI, I can have models and algorithms drag and drop nodes."
"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."
"The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."
"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."
"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."
"The only weakness I would say is on the visualization side of having that dynamic incapability."
"The principal problem is the pricing. They're expensive products."
"Even when it already includes some AI models, this area could be improved."
"I mostly used it for flat files, but I have many colleagues who reported that to tune a query, in case they want to directly connect to the database, there is no option to optimize the performance of the query, as we have in Informatica."
"Deep learning models are not currently supported."
"Alteryx could be improved in the area of analytics and central governance."
"What they're struggling with is it's not as mature as Tableau in the user management area. It was tougher to manage the server part of it right away, especially since the user base has grown."
"The only area where the product lags is documentation and videos on the analytical app and the batch macro."
"RapidMiner isn't cheap. It's a complete solution, but it's costly."
"If they could include video tutorials, people would find that quite helpful."
"I think that they should make deep learning models easier."
"It would be helpful to have some tutorials on communicating with Python."
"RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."
"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."
"I would like to see all users have access to all of the deep learning models, and that they can be used easily."
"In the Mexican or Latin American market, it's kind of pricey."
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)