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, RapidMiner, SAP and others in Predictive Analytics."The cloud deployment ensures it scales easily."
"The most valuable feature of Alteryx is user-friendliness."
"The tools are built-in. You just plug and play, drag and drop, once you understand how to use the tools, it is easy."
"I like that I can merge data from different sources into one place."
"The data transformation feature is the most valuable. The ability to ingest data, visualize data, and transform that data is useful."
"Alteryx effectively visualizes the flow of data and what happens at each stage. I also like that it's a no-code solution. I also like that you can troubleshoot certain parts of the workflow by putting them in a sandbox."
"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."
"It is a stable and scalable solution."
"The flexibility of the configuration is valuable to me."
"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."
"The speed to display charts and react to users' choices is great."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"Data handling is one of the best features of SAS Visual Analytics."
"The product is stable, reliable, and scalable."
"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."
"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."
"Alteryx's predictive data models are pretty average and can be improved."
"What they're struggling with is it's not as mature as Tableau in the user management area. It was tougher to manage the server part of it right away, especially since the user base has grown."
"The interface could be improved."
"The principal problem is the pricing. They're expensive products."
"It would be great to create the final users' visualization within Alteryx."
"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."
"Even when it already includes some AI models, this area could be improved."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"The solution should improve its graphics."
"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 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."
"The product is expensive and needs the integration of more languages."
"A bit more flexibility in the temperatization will be helpful."
"There are scalability issues. It depends on the data volume and number of end-users. VA requires a lot of hardware resources to move volumes of data."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
Alteryx is ranked 1st in Predictive Analytics with 74 reviews while SAS Visual Analytics is ranked 7th in Data Visualization with 35 reviews. Alteryx is rated 8.4, while SAS Visual Analytics is rated 8.0. 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, Databricks, Dataiku Data Science Studio, RapidMiner and Microsoft Power BI, 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.
