We performed a comparison between IBM SPSS Modeler 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 visual modeling capability is one of its attractive features."
"In the solution, I like the virtualization of data flow since it shows what goes where, which is mostly the strength of the tool."
"It is just a lot faster. So you do not have to write a bunch of code, you can throw that stuff on there pretty quickly and do prototyping quickly."
"Automation is great and this product is very organized."
"It continues to be a very flexible platform, so that it handles R and Python and other types of technology. It seems to be growing with additional open-source movement out there on different platforms."
"It works fine. I have not had any stability issues; it is always up."
"IBM was chosen because of usability. It's point and click, whereas the other out-of-the box-solution, or open-source solutions, require full-on programming and a much higher skill level."
"We have a local representative who specializes in SPSS. He will help us do the PoC."
"For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks."
"Watson Studio is very stable."
"Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic."
"It is a very stable and reliable solution."
"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."
"Stability-wise, it is a great tool."
"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."
"Expensive to deploy solutions. You need to buy an extra deployment unit."
"I would not rate the technical support very well. The technicians have accents. When you do find someone, it is very hard to get somebody able to answer the technical questions."
"The biggest issue with the visual modeling capability is that we can't extract the SQL code under the hood."
"Initial setup of the software was complex, because of our own problems within the government."
"The forecasting could be a bit easier."
"It would be good if IBM added help resources to the interface."
"The standard package (personal) is not supported for database connection."
"It would be helpful if SPSS supported open-source features, for example, embedding R or Python scripts in SPSS Modeler."
"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."
"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."
"The initial setup was complex."
"The solution's interface is very slow at times."
"We would like to see it more web-based with more functionality."
"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."
IBM SPSS Modeler is ranked 12th in Data Science Platforms with 38 reviews while IBM Watson Studio is ranked 10th in Data Science Platforms with 13 reviews. IBM SPSS Modeler is rated 8.0, while IBM Watson Studio is rated 8.2. The top reviewer of IBM SPSS Modeler writes "Easy to use, quick to learn, and offers many ways to analyze data". 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 Modeler is most compared with KNIME, Microsoft Power BI, IBM SPSS Statistics, RapidMiner and SAS Analytics, whereas IBM Watson Studio is most compared with Databricks, Azure OpenAI, Microsoft Azure Machine Learning Studio, Google Vertex AI and IBM Watson OpenScale. See our IBM SPSS Modeler vs. IBM Watson Studio report.
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