We performed a comparison between Amazon SageMaker 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."We've had no problems with SageMaker's stability."
"The tool makes our ML model development a bit more efficient because everything is in one environment."
"The tool has made client management easier where patients need to upload their health records and we can use the tool to understand details on treatment date, amount, etc."
"We were able to use the product to automate processes."
"The product aggregates everything we need to build and deploy machine learning models in one place."
"The superb thing that SageMaker brings is that it wraps everything well. It's got the deployment, the whole framework."
"The Autopilot feature is really good because it's helpful for people who don't have much experience with coding or data pipelines. When we suggest SageMaker to clients, they don't have to go through all the steps manually. They can leverage Autopilot to choose variables, run experiments, and monitor costs. The results are also pretty accurate."
"Feature Store, CodeCommit, versioning, model control, and CI/CD pipelines are the most valuable features in Amazon SageMaker."
"I've found the descriptive statistics and cross-tabs valuable. The very simple correlations and regressions are as well."
"The most valuable features are the small learning curve and its ability to hold a lot of data."
"Custom tables and macros: They allow us to create useful reports quickly for a broad audience."
"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."
"It is a modeling tool with helpful automation."
"in terms of the simplicity, I think the SPSS basic can handle it."
"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."
"The product must provide better documentation."
"There are other better solutions for large data, such as Databricks."
"I would suggest that Amazon SageMaker provide free slots to allow customers to practice, such as a free slot to try out working with a Sandbox."
"AI is a new area and AWS needs to have an internship training program available."
"Creating notebook instances for multiple users is pretty expensive in Amazon SageMaker."
"Lacking in some machine learning pipelines."
"The solution requires a lot of data to train the model."
"The solution needs to be cheaper since it now charges per document for extraction."
"I feel that when it comes to conducting multiple analyses, there could be more detailed information provided. Currently, the software gives a summary and an overview, but it would be beneficial to have specific details for each product or variable."
"Technical support needs some improvement, as they do not respond as quickly as we would like."
"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."
"Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance."
"It could provide even more in the way of automation as there are many opportunities."
"Improvements are needed in the user interface, particularly in terms of user-friendliness."
"Needs more statistical modelling functions."
Amazon SageMaker is ranked 5th in Data Science Platforms with 19 reviews while IBM SPSS Statistics is ranked 7th in Data Science Platforms with 36 reviews. Amazon SageMaker is rated 7.4, while IBM SPSS Statistics is rated 8.0. The top reviewer of Amazon SageMaker writes "Easy to use and manage, but the documentation does not have a lot of information". On the other hand, the top reviewer of IBM SPSS Statistics writes "Enhancing survey analysis that provides valued insightfulness". Amazon SageMaker is most compared with Databricks, Azure OpenAI, Google Vertex AI, Domino Data Science Platform and Microsoft Azure Machine Learning Studio, whereas IBM SPSS Statistics is most compared with Alteryx, TIBCO Statistica, Microsoft Azure Machine Learning Studio, Weka and MathWorks Matlab. See our Amazon SageMaker vs. IBM SPSS Statistics report.
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