We performed a comparison between Dataiku Data Science Studio 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.
"Data Science Studio's data science model is very useful."
"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."
"The most valuable features are the small learning curve and its ability to hold a lot of data."
"The features that I have found most valuable are the Bayesian statistics and descriptive statistics."
"SPSS can handle whatever you throw at it, whether your data set contains 10,000, 100,000, or a million objects. It's like the heavy artillery of analytical tools."
"SPSS is quite robust and quicker in terms of providing you the output."
"You can quickly build models because it does the work for you."
"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."
"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."
"I think it would help if Data Science Studio added some more features and improved the data model."
"IBM SPSS Statistics could improve the visual outputs where you are producing, for example, a graph for a company board of directors, or an advert."
"SPSS is a tool that's been around since the late 60s, and it's the universal worldwide standard for quantitative social science data analysis. That said, it does seem a bit strange to me that the graphical output functions are so clunky after all these years. The output of charts and graphs that SPSS produces is hideous."
"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."
"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."
"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering."
"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."
"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."
"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."
Dataiku Data Science Studio is ranked 7th in Data Science Platforms with 1 review while IBM SPSS Statistics is ranked 5th in Data Science Platforms with 10 reviews. Dataiku Data Science Studio is rated 10.0, while IBM SPSS Statistics is rated 8.6. The top reviewer of Dataiku Data Science Studio writes "The model is very useful". On the other hand, the top reviewer of IBM SPSS Statistics writes "Offers good Bayesian and descriptive statistics". Dataiku Data Science Studio is most compared with Databricks, Alteryx, Microsoft Azure Machine Learning Studio and Amazon SageMaker, whereas IBM SPSS Statistics is most compared with IBM SPSS Modeler, Alteryx, Microsoft Azure Machine Learning Studio, Weka and Anaconda.
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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.
