We performed a comparison between Alteryx and SAS Enterprise Miner based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."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."
"The most valuable feature of Alteryx is the intelligence suite."
"The most valuable feature of Alteryx is user-friendliness."
"The drag-and-drop functionality, the ready-to-use analytics module, and the ability to track my data pipelines visually are the solution's most valuable features."
"Its initial setup is easy."
"It is one of the most complete and great customer service that I experienced with a software company/ecosystem."
"Alteryx is a low-code platform, and that's the biggest reason why we chose it."
"Shortens the time required to start analyzing data and looking for insights, minimizing the tasks that do not add value to the business and maximizing the analysis phase."
"I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks."
"The solution is able to handle quite large amounts of data beautifully."
"The technical support is very good."
"The most valuable feature is the decision tree creation."
"he solution is scalable."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"Good data management and analytics."
"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."
"The server is too expensive for what you get and it really a designer desktop on a server."
"The principal problem is the pricing. They're expensive products."
"The event handling, such that the file system watcher, is in need of improvement."
"The scalability worries me a lot at the moment because the cost of the solution is high and it is not growing considerably. Unfortunately, we started during early COVID times and because of the economic downturn, all the cost cuttings, and everything, it is not growing as expected."
"The solution could work on the BI side of the tool to make it a bit better."
"I'd like it to be easier to work with PDF."
"We can't browse multiple files. When we deploy a solution on a gallery, let's say I have ten different files, and I have to upload them all at once. This is something that's difficult in the gallery. So case by case, I see some downsides, but often we do something alternative."
"The solution can be made more affordable."
"The product must provide better integration with cloud-native technologies."
"The user interface of the solution needs improvement. It needs to be more visual."
"The visualization of the models is not very attractive, so the graphics should be improved."
"Technical support could be improved."
"The ease of use can be improved. When you are new it seems a bit complex."
"The solution is very stable, but we do have some problems with discrepancies involving SAS not matching with the latest Java versions. It's not stable in cases where SAS tries to run on a different version because SAS doesn't connect with the latest Java update. Once a month we need to restart systems from scratch."
"The initial setup is challenging if doing it for the first time."
"Virtualization could be much better."
Alteryx is ranked 3rd in Data Science Platforms with 74 reviews while SAS Enterprise Miner is ranked 15th in Data Science Platforms with 13 reviews. Alteryx is rated 8.4, while SAS Enterprise Miner is rated 7.6. 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 Enterprise Miner writes "A stable product that is easy to deploy and can be used for structured and unstructured data mining". Alteryx is most compared with KNIME, Databricks, Dataiku Data Science Studio, RapidMiner and Microsoft Power BI, whereas SAS Enterprise Miner is most compared with SAS Visual Analytics, IBM SPSS Modeler, RapidMiner, Microsoft Azure Machine Learning Studio and KNIME. See our Alteryx vs. SAS Enterprise Miner report.
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