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."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 full control of the data handling process."
"Stability is good."
"It scales. I have not run into any challenges where it will not perform."
"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."
"A lot of jobs that are stuck in Excel due to the huge numbers of rows are tackled pretty quickly."
"We have integration where you can write third-party apps. This sort of feature opens it up to being able to do anything you want."
"In the solution, I like the virtualization of data flow since it shows what goes where, which is mostly the strength of the tool."
"For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks."
"IBM Watson Studio consistently automates across channels."
"Stability-wise, it is a great tool."
"It is a very stable and reliable solution."
"The system's ability to take a look at data, segment it and then use that data very differently."
"Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic."
"It has greatly improved the performance because it is standardized across the company."
"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."
"It would be beneficial if the tool would include more well-known machine learning algorithms."
"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."
"C&DS will not meet our scalability needs."
"The standard package (personal) is not supported for database connection."
"It would be good if IBM added help resources to the interface."
"Formula writing is not straightforward for an Excel user. Totally new set of functions, which takes time to learn and teach."
"Neural networks are quite simple, and now neural networks are evolving to these architecture related to deep learning, etc. They didn't incorporate this in IBM SPSS Modeler."
"Requires more development."
"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."
"I think maybe the support is an area where it lacks."
"The main challenge lies in visibility and ease of use."
"The solution's interface is very slow at times."
"We would like to see it more web-based with more functionality."
"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."
"I want IBM's technical support team to provide more specific answers to queries."
IBM SPSS Modeler is ranked 12th in Data Science Platforms with 38 reviews while IBM Watson Studio is ranked 11th 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, RapidMiner, IBM SPSS Statistics and Databricks, whereas IBM Watson Studio is most compared with Databricks, Microsoft Azure Machine Learning Studio, Azure OpenAI, Google Vertex AI and Anaconda. See our IBM SPSS Modeler vs. IBM Watson Studio report.
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