Compare Amazon SageMaker vs. IBM SPSS Statistics

Amazon SageMaker is ranked 14th in Data Science Platforms with 4 reviews while IBM SPSS Statistics is ranked 4th in Data Science Platforms with 10 reviews. Amazon SageMaker is rated 7.4, while IBM SPSS Statistics is rated 8.0. The top reviewer of Amazon SageMaker writes "A solution with great computational storage, has many pre-built models, is stable, and has good support". On the other hand, the top reviewer of IBM SPSS Statistics writes "Has many existing algorithms that we can use but it should have the ability to create higher-level presentations". Amazon SageMaker is most compared with Databricks, Microsoft Azure Machine Learning Studio and Domino Data Science Platform, whereas IBM SPSS Statistics is most compared with IBM SPSS Modeler, Weka and MathWorks Matlab. See our Amazon SageMaker vs. IBM SPSS Statistics report.
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Most Helpful Review
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Find out what your peers are saying about Amazon SageMaker vs. IBM SPSS Statistics and other solutions. Updated: March 2020.
408,459 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
The most valuable feature of Amazon SageMaker is that you don't have to do any programming in order to perform some of your use cases.The deployment is very good, where you only need to press a few buttons.They are doing a good job of evolving.The few projects we have done have been promising.

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The solution has numerous valuable features. We particularly like custom tabs. It's very useful. We end up analyzing a lot of software data, so features related to custom tabs are really helpful.In terms of the features I've found most valuable, I'd say the duration, the correlation, and of course the nonparametric statistics. I use it for reliability and survival analysis, time series, regression models in different solutions, and different types of solutions.The most valuable feature is the user interface because you don't need to write code.It has the ability to easily change any variable in our research.They have many existing algorithms that we can use and use effectively to analyze and understand how to put our data to work to improve what we do.The solution is very comprehensive, especially compared to Minitabs, which is considered more for manufacturing. However, whatever data you want to analyze can be handled with SPSS.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.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.

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Cons
AI is a new area and AWS needs to have an internship training program available.Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier.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.I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time.

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The solution needs more planning tools and capabilities.Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them.This solution is not suitable for use with Big Data.The design of the experience can be improved.The product should provide more ways to import data and export results that are user-friendly for high-level executives.One of the areas that should be similar to Minitabs is the use of blogs. The Minitabs blog helps users understand the tools and gives lots of practical examples. Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use. With Minitabs, you can go to the blogs and find specific articles written about various components and it's very helpful. Without blogs, we find SPSS more complicated.Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance.The statistics should be more self-explanatory with detailed automated reports.

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Pricing and Cost Advice
The support costs are 10% of the Amazon fees and it comes by default.The pricing is complicated as it is based on what kind of machines you are using, the type of storage, and the kind of computation.

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The price of this solution is a little bit high, which was a problem for my company.We think that IBM SPSS is expensive for this function.

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report
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Ranking
14th
Views
7,233
Comparisons
6,548
Reviews
3
Average Words per Review
560
Avg. Rating
7.3
4th
Views
3,476
Comparisons
2,794
Reviews
10
Average Words per Review
610
Avg. Rating
7.9
Top Comparisons
Compared 31% of the time.
Compared 14% of the time.
Also Known As
AWS SageMaker, SageMakerSPSS Statistics
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Amazon
IBM
Overview

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.

Your organization has more data than ever, but spreadsheets and basic statistical analysis tools limit its usefulness. IBM SPSS Statistics software can help you find new relationships in the data and predict what will likely happen next. Virtually eliminate time-consuming data prep; and quickly create, manipulate and distribute insights for decision making.
Offer
Learn more about Amazon SageMaker
Learn more about IBM SPSS Statistics
Sample Customers
DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, IntuitLDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA
Top Industries
VISITORS READING REVIEWS
Software R&D Company32%
Media Company18%
Comms Service Provider11%
K 12 Educational Company Or School4%
REVIEWERS
University33%
Financial Services Firm22%
Non Profit11%
Government11%
VISITORS READING REVIEWS
Software R&D Company25%
K 12 Educational Company Or School16%
Comms Service Provider13%
Media Company11%
Find out what your peers are saying about Amazon SageMaker vs. IBM SPSS Statistics and other solutions. Updated: March 2020.
408,459 professionals have used our research since 2012.
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