We performed a comparison between RapidMiner and SAP Analytics Cloud 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."RapidMiner is very easy to use."
"RapidMiner is a no-code machine learning tool. I can install it on my local machine and work with smaller datasets. It can also connect to databases, allowing me to build models directly on the data stored there. RapidMiner offers a wider range of operators than other tools like Dataiku, making it a better option for my needs."
"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."
"I've been using a lot of components from the Strategic Extension and Python Extension."
"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."
"The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."
"The data science, collaboration, and IDN are very, very strong."
"It's many features make it the best in the market."
"It's so user-friendly."
"The user interface is quite good for developing reports out of models."
"Technical support is helpful."
"The ability to collaborate and plan together is great."
"I like the connectivity the solution provides with other products."
"I like the predictive features of SAP. It's easy to use tools for an end-user."
"There is a really nice insight feature that I enjoy using."
"RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."
"I would like to see all users have access to all of the deep learning models, and that they can be used easily."
"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 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."
"In the Mexican or Latin American market, it's kind of pricey."
"The price of this solution should be improved."
"RapidMiner can improve deep learning by enhancing the features."
"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."
"SAP could add some more visualization features to Analytics Cloud, like charts and analytics. I would also like to see some more data cleaning and ad hoc functions added to this solution."
"Pricing is fine for the BI license, but when it comes to client license, that fee is a bit high."
"The connection works only for importing data. Currently, there is no real-time integration between SAP Analytics Cloud and CRM. There are some features present in the classic but not in the optimized version. If I need to create something specific, I often have to switch the versions. It would be more convenient to have a single product that incorporates all the necessary features."
"What should be improved in SAP Analytics Cloud is the speed of importing information and data, e.g. from SAP S/4HANA. Gathering the data from the main database takes a bit of time."
"When it comes to planning there is a concern about the ability to match the exact requirements of the customer with what the product offers."
"In the live connection model, we can't create calculated dimensions, however, in the import model we can create them."
"The security, authorization, and live connection to the back-office system features can be improved. A business analyst colleague who creates complex financial management reports has mentioned that he wants to see more fact and visualization features. It would be helpful to have more visualization features to be able to prepare more stories or reports for executives. For example, Tableau has some visualization features that are not present in this solution."
"Sometimes there are speed issues with big deletion data."
RapidMiner is ranked 2nd in Predictive Analytics with 20 reviews while SAP Analytics Cloud is ranked 3rd in Predictive Analytics with 60 reviews. RapidMiner is rated 8.6, while SAP Analytics Cloud is rated 8.0. The top reviewer of RapidMiner writes "A no-code tool that helps to build machine learning models ". On the other hand, the top reviewer of SAP Analytics Cloud writes "Good for reporting but needs to improve its predictive analytics features". RapidMiner is most compared with KNIME, Alteryx, Dataiku, Tableau and Microsoft Azure Machine Learning Studio, whereas SAP Analytics Cloud is most compared with SAP BusinessObjects Business Intelligence Platform, Tableau, IBM Planning Analytics, Microsoft Power BI and Anaplan. See our RapidMiner vs. SAP Analytics Cloud report.
See our list of best Predictive Analytics vendors.
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