We performed a comparison between Alteryx 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."I believe that the ability to leverage the gallery for scalability, as well as the general data blending functionality, is most beneficial to our core-based users."
"The solution offers excellent predicting power. The accuracy and confidence have been great."
"The ease-of-use allows non-technical business users to directly create their own solutions without the use of additional development resources."
"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."
"Its initial setup is easy."
"Alteryx has a good UI. We use it frequently in our projects. The tool comes with drag-and-drop features and is easy to understand for business needs. One situation where Alteryx's advanced analytics capabilities were particularly beneficial for us was during a forecasting project. Unlike Python, which requires coding, Alteryx simplifies the process significantly. With Alteryx, users can adjust parameters within the user interface without writing any code."
"The feature that I have found most valuable for Alteryx is its geo-referencing feature, it is very good. I use it a lot, especially for supply chain."
"Data processing is most valuable. It is one of the fastest data blockers out there in the market, which is a fascinating thing about Alteryx."
"It's relatively simple to create basic dashboards and reports."
"I believe that the possibilities for exploring data and formulating visual results are quite good because it allows the business analyst to have different perspectives on the data."
"What I really love about the software is that I have never struggled in implementing it for complex business requirements. It is good for highly sophisticated and specialized statistics in the areas that some people tend to call artificial intelligence. It is used for everything that involves visual presentation and analysis of highly sophisticated statistics for forecasting and other purposes."
"It provided the capability to visualize a bunch of data in an organized way."
"It's a stable, reliable product."
"Data handling is one of the best features of SAS Visual Analytics."
"The flexibility of the configuration is valuable to me."
"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."
"When a process completes there is a notification, but the notification does not include the process's name."
"There are no ready models to use in analytics."
"Sometimes workflows tend to queue up, and they tend to get canceled for some reason that we don't know sometimes."
"The event handling, such that the file system watcher, is in need of improvement."
"There are a few imputation techniques which they really need to include."
"I think sometimes the solution doesn't load properly or takes so much time for the workflows. Though the workflow runs and completes the file in Excel, if you use the same formula, it's a bit slow. Also, the image processing is not so good because I tried to do some image processing and they were like, sometimes they put two to eight. In the document, it was two, but the OCR predicted it as eight."
"The learning curve is long, and there is lack of e-learning; the tool is not user-friendly to a non-technical user."
"Alteryx's development environment could be improved as it requires installation locally and can't be developed in the cloud."
"The deployment isn't smooth. Deploying Visual Analytics on the cloud takes a lot of work, or you can use some providers that give you SAS as a service. For example, there is a provider called SaasNow. They host SAS Visual Analytics and the license. You can buy the license and deploy it there without the hassle of installation because deploying the software isn't easy."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"The solution should improve its graphics."
"SAS Visual Analytics could be more user-friendly."
"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."
"The product is expensive and needs the integration of more languages."
"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."
"The charts and tables could use better sorting, primarily using other variables than the ones on the figure. If they could implement views like in the older version (previous to Viya), it would be very nice."
Alteryx is ranked 1st in Predictive Analytics with 74 reviews while SAS Visual Analytics is ranked 8th in Data Visualization with 36 reviews. Alteryx is rated 8.4, while SAS Visual Analytics is rated 8.2. 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 SAS Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". Alteryx is most compared with KNIME, Dataiku, Databricks, RapidMiner and Tableau, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio and WPS Analytics.
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.