We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
Pros | |
"Very good data aggregation." "It is a great product for running statistical analysis." "Automation is great and this product is very organized." "You take two quarters and compare them and this tool is ideal because it gives you a lot of visibility on the before and after." | "The solution is very easy to use." "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." "The scalability of IBM Watson Studio is great." "The system's ability to take a look at data, segment it and then use that data very differently." "IBM Watson Studio consistently automates across channels." "It has a lot of data connectors, which is extremely helpful." |
Cons | |
"Requires more development." "It would be good if IBM added help resources to the interface." "Dimension reduction should be classified separately." "When you are not using the product, such as during the pandemic where we had worldwide lockdowns, you still have to pay for the licensing." | "More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier." "So a better user interface could be very helpful" "The decision making in their decision making feature is less good than other options." "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." "The initial setup was complex." |
Pricing and Cost Advice | |
"$5,000 annually." "This tool, being an IBM product, is pretty expensive." | Information Not Available |
Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs. 454,950 professionals have used our research since 2012. | |
Questions from the Community | |
Top Answer: There are some important differences between both products. So probably, the first question I'll ask you is "for what use case are you evaluating these products?"
Of course, there are some general… more » Top Answer: SAS type free facility to .edu email - free training by IBM skill training. Currently IBM charge USD 2,400. | Top Answer: It has a lot of data connectors, which is extremely helpful. Top Answer: It will come down again to cost. Some of the solutions are really good solutions but they can be a little too costly for many. I think a lot of software vendors have considered having special pricing… more » Top Answer: The initial setup was complex. |
Ranking | |
Views 9,060 Comparisons 6,985 Reviews 5 Average Words per Review 422 Rating 8.0 | Views 5,356 Comparisons 4,275 Reviews 5 Average Words per Review 468 Rating 8.2 |
Popular Comparisons | |
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Also Known As | |
SPSS Modeler | Watson Studio, IBM Data Science Experience, Data Science Experience, DSx |
Learn | |
IBM | IBM |
Overview | |
IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions from the desktop or within operational systems. Buy | IBM Watson Studio provides tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. It gives you the flexibility to build models where your data resides and deploy anywhere in a hybrid environment so you can operationalize data science faster. |
Offer | |
Learn more about IBM SPSS Modeler | Learn more about IBM Watson Studio |
Sample Customers | |
Reisebªro Idealtours GmbH, MedeAnalytics, Afni, Israel Electric Corporation, Nedbank Ltd., DigitalGlobe, Vodafone Hungary, Aegon Hungary, Bureau Veritas, Brammer Group, Florida Department of Juvenile Justice, InSites Consulting, Fortis Turkey | GroupM, Accenture, Fifth Third Bank |
Top Industries | |
University20% Financial Services Firm16% Government12% Manufacturing Company12% Computer Software Company22% Comms Service Provider20% Educational Organization8% Financial Services Firm7% | Computer Software Company25% Comms Service Provider21% Retailer7% Financial Services Firm6% |
Company Size | |
Small Business24% Midsize Enterprise6% Large Enterprise70% | Small Business78% Large Enterprise22% |
IBM SPSS Modeler is ranked 9th in Data Science Platforms with 5 reviews while IBM Watson Studio is ranked 10th in Data Science Platforms with 6 reviews. IBM SPSS Modeler is rated 8.0, while IBM Watson Studio is rated 8.2. The top reviewer of IBM SPSS Modeler writes "User-friendly, and it gives you a lot of visibility through features like comparing fiscal quarters". On the other hand, the top reviewer of IBM Watson Studio writes "Machine learning that can be applicable for other data sets without having to carry out the process all over again". IBM SPSS Modeler is most compared with KNIME, IBM SPSS Statistics, Alteryx, RapidMiner and Microsoft Azure Machine Learning Studio, whereas IBM Watson Studio is most compared with Microsoft Azure Machine Learning Studio, Amazon SageMaker, Dataiku Data Science Studio, Anaconda and Alteryx. See our IBM SPSS Modeler vs. IBM Watson Studio report.
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