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."Geo features have made spatial mapping large retail universes possible."
"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 speeds up the time to obtain business answers/insights on data."
"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."
"The philosophy of the citizen data scientist is the key piece, which means the no-code analytics capability. This is the feature that attracted us the most."
"The drag-and-drop features are useful for data scientists who do not like to code because it is already in the system."
"It is a stable and scalable solution."
"The modeling features are very good."
"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."
"The solution has numerous valuable features. We particularly like custom tabs. It's very useful. We end up analyzing a lot of software data, so features related to custom tabs are really helpful."
"The most valuable features are the solution is easy to use, training new users is not difficult, and our usage is comprehensive because the whole service is beneficial."
"In terms of the features I've found most valuable, I'd say the duration, the correlation, and of course the nonparametric statistics. I use it for reliability and survival analysis, time series, regression models in different solutions, and different types of solutions."
"The features that I have found most valuable are the Bayesian statistics and descriptive statistics."
"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."
"It has the ability to easily change any variable in our research."
"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."
"It is a little bit pricey."
"There is currently no cloud solution and this would be valuable for many clients."
"I'd like to see more artificial intelligence business tools or features in Alteryx."
"More statistics tools: We can use to compare SPSS statistics with some automated advisory."
"When a process completes there is a notification, but the notification does not include the process's name."
"The solution could improve in the visualization."
"A feature which allows the user to be able to click on an output (in a file browser) and see the creation of the module would be fantastic."
"It's a technical product and those that don't have proper training will have to deal with a steep learning curve."
"This solution is not suitable for use with Big Data."
"Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance."
"I know that SPSS is a statistical tool but it should also include a little bit of analytical behavior. You can call it augmented analysis or predictive analysis. The bottom line is it should have more graphical and analytical capabilities."
"Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them."
"Needs more statistical modelling functions."
"If there is any self-generation data collection plan (DCP), it would be helpful in gathering data. It would also be useful if there is a function to scale it up to, let's say, UiPath and have it consolidate and integrate into a UiPath solution."
"The solution needs more planning tools and capabilities."
"In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options."
Alteryx is ranked 3rd in Data Science Platforms with 74 reviews while IBM SPSS Statistics is ranked 7th 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.
See our list of best Data Science Platforms vendors.
We monitor all Data Science Platforms 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.
Alteryx Definitely. SPSS is an old product et very outdated as compared to the new tools such as Alteryx or Knime.