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."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 GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."
"Using the GUI, I can have models and algorithms drag and drop nodes."
"The best part of RapidMiner is efficiency."
"What I like about RapidMiner is its all-in-one nature, which allows me to prepare, extract, transform, and load data within the same tool."
"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've been using a lot of components from the Strategic Extension and Python Extension."
"RapidMiner is very easy to use."
"The most valuable feature of the tool is machine learning."
"Its user-friendliness is valuable. It is a product for end-users and not for IT, which is an advantage."
"All of the modules that we used to have separately in our on-premises solution are now integrated into one platform."
"The most useful feature of SAP Analytics Cloud is planning because it helps users with making predictions and forecasts. Clients can forecast, make data allocations, and other actions. The solution is useful for planning."
"The SKU, the story build all are user- friendly. For the story build one just has to drag and drop it. And for the table, you just need some sort of selections and everything there."
"Planning is the most valuable feature of the product because it's integrated and that means we don't need to rely on an independent planning environment."
"It is scalable."
"The reporting, dashboards, KPIs, and visualization are the most valuable."
"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 terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."
"The price of this solution should be improved."
"I think that they should make deep learning models easier."
"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."
"RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."
"I would like to see more integration capabilities."
"Improve the online data services."
"SAP has always had one problem with its products, they make them very closed systems that are difficult to integrate."
"It still lacks a lot of functionalities as compared to other tools such as Power BI or Tableau. Sorting is not working as well as it works in Tableau. A lot of other things are also not at the same level. Their technical support is not perfect and could be better. It takes a lot of time to have lacking functionalities implemented. Its integration with the BW backend should be better. Both solutions are from the same vendor. They position SAP Analytics Cloud as a reporting tool on top of the BW environment, but the integration between both is not yet 100%. For example, user management is still not synchronized."
"Live Data Models are very slow and the setup can be improved, with tools such as Cloud Connector being inbuilt into SAP Analytics Cloud. Likewise, we need to write application code from scratch, rather than tweaking existing code, as we might with Excel macros. Moreover, when using responsive pages, the widgets get adjusted according to the mobile screen. As a result, when I place two or three KPI tiles, they can only be viewed tile-by-tile. We want to see the full dashboard on the mobile screen and zoom in to click on a particular section of the dashboard and go further into that. But displaying tile-by-tile makes it very annoying and the upper management using this dashboard might not be aware there are any more tiles to view."
"The scope is limited to a few accounts."
"Sometimes there are speed issues with big deletion data."
"However, there are areas of improvement, particularly in terms of visualization. The front-end interface of SAP Analytics Cloud is not as impressive as Tableau and Power BI. The charts in other solutions have a more visually appealing and customizable look, while in SAP Analytics Cloud, there's a lack of alignment between numbers and charts. This graphical aspect, especially concerning charts, is not as satisfactory in SAP Analytics Cloud compared to its counterparts."
"Sometimes we have difficulty connecting to a SharePoint list."
"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."
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.
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.