We performed a comparison between Alteryx and IBM SPSS Statistics 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 most valuable feature of this solution is data preparation."
"I like the fact that you can easily blend data from different platforms."
"The initial setup is easy."
"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."
"The design portion of this tool is easy to use without code, which his something that something we can appreciate."
"It saves time on a lot projects. "
"It is efficient in optimizing our ability to get information."
"Alteryx helps me do a lot of automation. The best thing about Alteryx is that you don't have to repeat the workflow over and over again. Unlike Excel, where you need to write formulas for each new file, Alteryx follows a consistent process. You can schedule and automate the workflow, even if the files change."
"Capability analysis is one of the main and valuable functions. We also do some hypothesis testing in Minitab and summary stats. These are the functions that we find very useful."
"Custom tables and macros: They allow us to create useful reports quickly for a broad audience."
"It has the ability to easily change any variable in our research."
"You can find a complete algorithm in the solution and use it. You don't need to write your own algorithms for predictive analytics. That's the most valuable feature and the main one we use."
"The software offers consistency across multiple research projects helping us with predictive analytics capabilities."
"The SPSS interface is very accessible and user-friendly. It's really easy to get information in it. I've shared it with experts and beginners, and everyone can navigate it."
"IBM SPSS Statistics depends on AI."
"The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can into multidimensional setup space. It's the multidimensional space facility that is most useful."
"The GUI interface functions but it could stand to be updated to a more modern look and feel."
"The data integration component could most likely be improved to increase enterprise scalability."
"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."
"Configuration is very low."
"The technical support could have a little bit of improvement."
"A colleague of mind mentioned that the solution should have more options for the visualization of data."
"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."
"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."
"I would like SPSS to improve its integration with other data-filing IBM tools. I also think its duration with data, utilization, and graphics could be better."
"It could provide even more in the way of automation as there are many opportunities."
"Better documentation on how to use macros."
"I think the visualization and charting should be changed and made easier and more effective."
"This solution is not suitable for use with Big Data."
"I'd like to see them use more artificial intelligence. It should be smart enough to do predictions and everything based on what you input."
"Needs more statistical modelling functions."
"I feel that when it comes to conducting multiple analyses, there could be more detailed information provided. Currently, the software gives a summary and an overview, but it would be beneficial to have specific details for each product or variable."
Alteryx is ranked 3rd in Data Science Platforms with 74 reviews while IBM SPSS Statistics is ranked 8th in Data Science Platforms with 36 reviews. Alteryx is rated 8.4, while IBM SPSS Statistics 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 IBM SPSS Statistics writes "Enhancing survey analysis that provides valued insightfulness". Alteryx is most compared with KNIME, Dataiku, Databricks, RapidMiner and SAS Enterprise Guide, whereas IBM SPSS Statistics is most compared with TIBCO Statistica, Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, Weka and Oracle Advanced Analytics. See our Alteryx vs. IBM SPSS Statistics report.
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Alteryx Definitely. SPSS is an old product et very outdated as compared to the new tools such as Alteryx or Knime.