We performed a comparison between IBM SPSS Statistics and IBM Watson Studio 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 best part is that they have an algorithm handbook, so you can open it up and understand how it works, and if it is useful, this is very important."
"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."
"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 feature is its robust statistical analysis capabilities."
"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."
"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."
"It has the ability to easily change any variable in our research."
"It is a modeling tool with helpful automation."
"The solution is very easy to use."
"It is a stable, reliable product."
"Stability-wise, it is a great tool."
"The main benefit is the ease of use. We see a lot of engineers in our site and customers that really like the way the tools are able to work with the people."
"For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks."
"The most important thing is that it's a multi-faceted solution. It's a kind of specialist, not a generalist. It can produce very specific information for the customer. It's totally different from Google or any search engine that produces generic information. It's specialty is that it's all on video."
"It has a lot of data connectors, which is extremely helpful."
"It stands out for its substantial AI capabilities, offering a broad spectrum of features for crafting solutions that meet specific requirements."
"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."
"This solution is not suitable for use with Big Data."
"There is a learning curve; it's not very steep, but there is one."
"Needs more statistical modelling functions."
"The product should provide more ways to import data and export results that are user-friendly for high-level executives."
"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."
"The solution needs to improve forecasting using time series analysis."
"I think the visualization and charting should be changed and made easier and more effective."
"We would like to see it less as one big, massive product, but more based on smaller services that we can then roll out to consumers."
"Initially, it was quite complex. For us, it was not only a matter of getting it installed, that was just a start. It was also trying to come up with a standard way of implementing it across the entire organization, which had been a challenge."
"Watson Studio would be improved with a clearer path for the deployment of docker images."
"I think maybe the support is an area where it lacks."
"So a better user interface could be very helpful"
"It's sometimes easy to get lost given the number of images the solution opens up when you click on the mouse and the amount of different tabs."
"Some of the solutions are really good solutions but they can be a little too costly for many."
"We would like to see it more web-based with more functionality."
IBM SPSS Statistics is ranked 8th in Data Science Platforms with 36 reviews while IBM Watson Studio is ranked 11th in Data Science Platforms with 13 reviews. IBM SPSS Statistics is rated 8.0, while IBM Watson Studio is rated 8.2. The top reviewer of IBM SPSS Statistics writes "Enhancing survey analysis that provides valued insightfulness". On the other hand, the top reviewer of IBM Watson Studio writes "A highly robust and well-documented platform that simplifies the complex world of AI". IBM SPSS Statistics is most compared with Alteryx, TIBCO Statistica, Microsoft Azure Machine Learning Studio, IBM SPSS Modeler and Amazon SageMaker, whereas IBM Watson Studio is most compared with Databricks, Microsoft Azure Machine Learning Studio, Azure OpenAI, Google Vertex AI and Alteryx. See our IBM SPSS Statistics vs. IBM Watson Studio report.
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