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 Alteryx is its performance. It is a powerful solution."
"The analytics are easy."
"The data transformation feature is the most valuable. The ability to ingest data, visualize data, and transform that data is useful."
"It is a stable and scalable solution."
"It saves time on a lot projects. "
"It's super easy to learn how to use it — the learning curve is very small."
"Predictive models, which are easy to use, and help a lot with fast design and deployment."
"The scheduling within the solution is excellent."
"One feature I found very valuable was the analysis of variance (ANOVA)."
"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."
"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 software offers consistency across multiple research projects helping us with predictive analytics capabilities."
"It has helped our analyst unit deliver work with more transparency and confidence, given that we can always view the dataset in totality, after each step of data transformation."
"IBM SPSS Statistics depends on AI."
"You can quickly build models because it does the work for you."
"The features that I have found most valuable are the Bayesian statistics and descriptive statistics."
"The GUI interface functions but it could stand to be updated to a more modern look and feel."
"We are hoping that the NLP features will also support Chinese characters."
"Mastering Alteryx, a comprehensive solution, takes time. However, once you have gained proficiency with its layout and how to drag, drop, and connect components, it becomes remarkably easy, yet still thorough."
"Configuration is very low."
"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."
"I mostly used it for flat files, but I have many colleagues who reported that to tune a query, in case they want to directly connect to the database, there is no option to optimize the performance of the query, as we have in Informatica."
"There are a few hiccups with specific data sets and languages or formats that the data comes in. That may be a minor problem, but we can work through it. We had some issues looking at XML format in added data, but it wasn't significant."
"The event handling, such that the file system watcher, is in need of improvement."
"One of the areas that should be similar to Minitabs is the use of blogs. The Minitabs blog helps users understand the tools and gives lots of practical examples. Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use. With Minitabs, you can go to the blogs and find specific articles written about various components and it's very helpful. Without blogs, we find SPSS more complicated."
"Technical support needs some improvement, as they do not respond as quickly as we would like."
"I think the visualization and charting should be changed and made easier and more effective."
"Perhaps in terms of visualization. It's not really easy to do some data visualization, just simple, descriptive analysis in SPSS. I think that could be an area for improvement."
"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."
"In some cases, the product takes time to load a large dataset. They could improve this particular area."
"Better documentation on how to use macros."
"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."
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, Databricks, Dataiku Data Science Studio, RapidMiner and Microsoft Azure Machine Learning Studio, whereas IBM SPSS Statistics is most compared with TIBCO Statistica, Microsoft Azure Machine Learning Studio, IBM SPSS Modeler, Weka and Google Cloud Datalab. 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.