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."One-stop shop for data preparation, blending, prediction, and optimization in a single workflow."
"The ease-of-use allows non-technical business users to directly create their own solutions without the use of additional development resources."
"It helps clean messy data and provides spatial analysis."
"It is a stable and scalable solution."
"I like the solution's velocity, the speed with which it processes data, and its ease of use."
"The most valuable feature of Alteryx is its stand-alone version that we do not have to download dependencies for loads. Additionally, the scan is useful for beginners."
"The analytics are easy."
"Predictive models, which are easy to use, and help a lot with fast design and deployment."
"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."
"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 most valuable feature is what the product sets out to do, which is extracting information and data."
"The data science, collaboration, and IDN are very, very strong."
"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."
"The best part of RapidMiner is efficiency."
"I've been using a lot of components from the Strategic Extension and Python Extension."
"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."
"I honestly can't think of anything that needs to be improved."
"Alteryx can improve the model management and deployment processing of large workloads."
"There have been some issues with licensing, particularly with the increased prices. This has led some companies, including ours, to consider reducing the number of licenses or potentially discontinuing their use of Alteryx."
"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."
"The gallery could improve in Alteryx. Additionally, if there was a Conditional Join feature it would be beneficial. Since I do not have this feature I have to use Python scripts."
"I think they should really work on integrating or have a capacity to integrate some algorithmic code. I think that's one of the most important things they need to be doing."
"I'd like it to be easier to work with PDF."
"Alteryx's development environment could be improved as it requires installation locally and can't be developed in the cloud."
"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."
"RapidMiner can improve deep learning by enhancing the features."
"I would like to see all users have access to all of the deep learning models, and that they can be used easily."
"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 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."
"It would be helpful to have some tutorials on communicating with Python."
"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."
"Improve the online data services."
Alteryx is ranked 1st in Predictive Analytics with 74 reviews while RapidMiner is ranked 2nd 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, Databricks, Dataiku, Microsoft Power BI and Tableau, 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.
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)