We performed a comparison between RapidMiner and SAS Visual Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Alteryx, SAP, RapidMiner and others in Predictive Analytics."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."
"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 is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive."
"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."
"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."
"RapidMiner for Windows is an excellent graphical tool for data science."
"The most valuable feature is what the product sets out to do, which is extracting information and data."
"It's relatively simple to create basic dashboards and reports."
"Visual Analytics is very easy to use. I use Visual Analytics for all the typical use cases except text mining. I used it to analyze data and monitor statistics, not text mining. I also use it for data visualization as well as creating interactive dashboards and infographics."
"The product is stable, reliable, and scalable."
"Great for handling complex data models."
"The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps with quality assurance processes."
"The speed to display charts and react to users' choices is great."
"It provided the capability to visualize a bunch of data in an organized way."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"Improve the online data services."
"I would appreciate improvements in automation and customization options to further streamline processes."
"In the Mexican or Latin American market, it's kind of pricey."
"I think that they should make deep learning models easier."
"The price of this solution should be improved."
"I would like to see all users have access to all of the deep learning models, and that they can be used easily."
"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."
"In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."
"The licensing ends up being more expensive than other options."
"A bit more flexibility in the temperatization will be helpful."
"The solution is a little weak at the front end."
"There are a few little things that are predefined and can be done out of the box immediately. There is no business intelligence application that is predefined, which is something some customers or prospects would love to have. Small and mid-sized companies would struggle with it because they prefer something standard that has been predefined by somebody else."
"SAS Visual Analytics could improve by making it more accessible for users outside the organization."
"It is not as mature as competitors such as Tableau and QlikView."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
RapidMiner is ranked 3rd in Predictive Analytics with 20 reviews while SAS Visual Analytics is ranked 8th in Data Visualization with 36 reviews. RapidMiner is rated 8.6, while SAS Visual Analytics is rated 8.2. 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 SAS Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". RapidMiner is most compared with KNIME, Alteryx, Dataiku, Tableau and Microsoft Azure Machine Learning Studio, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio and Dataiku.
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.
