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 product's Macros probably are one of the most useful aspects."
"I like the solution's velocity, the speed with which it processes data, and its ease of use."
"Geo features have made spatial mapping large retail universes possible."
"The GUI is simple and it integrates with Python."
"The most valuable feature of Alteryx is user-friendliness."
"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."
"Alteryx speeds up the time to obtain business answers/insights on data."
"Alteryx's connectivity is essential. We like the ability to connect the solution to multiple sources. It's easier than other data modeling and extraction solutions. It's built on a self-service concept, so it's easy for anyone to open the tool and directly import or export data from it."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"The solution is able to handle quite large amounts of data beautifully."
"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."
"Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic."
"he solution is scalable."
"I like the way the product visually shows the data pipeline."
"The solution is very good for data mining or any mining issues."
"The most valuable feature is the decision tree creation."
"There's a big jump in terms of pricing between license tiers. I'm not sure I understand why the price jumps are so high."
"All of the reports are migrated or exported in an Excel file, and most of the time, a business intelligence tool is required. They could have better reporting. The aesthetic could be improved."
"There could be a bit of improvement related to performance. Sometimes it demands a lot of resources for running it, like memory and search."
"In the database, it should be more functional and connect to more big data, especially using IPI."
"They can provide some pre-built tools for predictive analytics instead of us having to build all the tools. It should also be improved from the visualization aspect. It should have better visualization capabilities. There are tools out there that have better visualization capabilities, which Alteryx is lacking currently."
"Even when it already includes some AI models, this area could be improved."
"Alteryx can improve in data science. They have to have more features and components in the data science aspect because they claim to be a data science tool. However, in order to be more competitive, they have to improve on their data science propositions. Thre are other solutions on the market, such as other players in the market, Data2Go or DataIQ, and Alteryx needs to catch up."
"It would be great to create the final users' visualization within Alteryx."
"While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system."
"The solution is much more complex than other options."
"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."
"Technical support could be improved."
"Virtualization could be much better."
"The ease of use can be improved. When you are new it seems a bit complex."
"The initial setup is challenging if doing it for the first time."
"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."
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 Qlik Sense, 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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