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Amazon SageMaker vs IBM SPSS Statistics comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 5, 2024

Review summaries and opinions

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

ROI

Sentiment score
7.6
Amazon SageMaker offers cost-effective AI model deployment, delivering significant financial savings and efficiency, especially for AWS users.
Sentiment score
8.7
IBM SPSS Statistics delivers 50% ROI by streamlining data analysis, saving time and money for organizations and universities.
 

Customer Service

Sentiment score
7.1
Amazon SageMaker support is valued for technical assistance and documentation, though response times vary, especially for non-premium users.
Sentiment score
6.6
IBM SPSS Statistics users experience varied customer service, generally finding it good; some appreciate prompt assistance, others rarely need support.
 

Scalability Issues

Sentiment score
7.6
Amazon SageMaker is highly scalable, adaptable to various data sizes, with robust features supporting diverse industrial applications despite some challenges.
Sentiment score
6.5
Users report mixed scalability with IBM SPSS, affected by dataset size, infrastructure, and comparisons to competitors like SAS.
 

Stability Issues

No sentiment score available
Sentiment score
7.6
IBM SPSS Statistics is reliable, handling large datasets well, though minor issues may occur with low RAM environments.
 

Room For Improvement

Amazon SageMaker's pricing is high, with complex features and unclear documentation; interface and integration improvements are needed.
IBM SPSS Statistics needs improvements in visualization, pricing, interface, integration, documentation, and automation for better user experience.
 

Setup Cost

Amazon SageMaker's complex pricing can be expensive, with costs primarily driven by compute resources on a pay-as-you-go model.
IBM SPSS Statistics is costly, with advanced models up to $7,000, though discounts exist for educational and developing regions.
 

Valuable Features

Amazon SageMaker streamlines machine learning with pre-built models, AWS integration, flexible resources, and comprehensive tools for efficient deployment.
IBM SPSS Statistics offers a user-friendly interface, robust analysis features, and flexible data handling for comprehensive statistical projects.
 

Categories and Ranking

Amazon SageMaker
Ranking in Data Science Platforms
3rd
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
32
Ranking in other categories
AI Development Platforms (4th)
IBM SPSS Statistics
Ranking in Data Science Platforms
9th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
37
Ranking in other categories
Data Mining (3rd)
 

Mindshare comparison

As of December 2024, in the Data Science Platforms category, the mindshare of Amazon SageMaker is 7.5%, down from 10.1% compared to the previous year. The mindshare of IBM SPSS Statistics is 2.7%, up from 2.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
 

Featured Reviews

Natu Lauchande - PeerSpot reviewer
Easy to use and manage, but the documentation does not have a lot of information
SageMaker Studio sounds very interesting. Feature Store and data pipeline features are very interesting. The product is a one-stop shop. It allows people without much engineering knowledge to try out and deploy models in environments similar to the production environments. The tool makes our ML model development a bit more efficient because everything is in one environment. It is easy to manage compared to when things were in different components of AWS. Amazon SageMaker is in AWS, so I need not pay two bills. It is one less system to manage, so it is easier.
Md Masudul Hassan - PeerSpot reviewer
Comprehensive data analysis capabilities with a user-friendly interface, providing an efficient and reliable platform for researchers and analysts
I believe that offering short-term SPSS licenses, perhaps when customer sourcing is available, could make it more affordable. These licenses shouldn't include features tailored for universities or large sales organizations. Instead, they could offer discounts or additional facilities for smaller entities to access the software. In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options. For example, offering basic features to the first hundred users can help them become familiar with the software and its capabilities. This approach encourages users to upgrade to higher tiers as they become more experienced and require additional functionality.
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Educational Organization
14%
Computer Software Company
11%
Manufacturing Company
9%
Financial Services Firm
17%
Computer Software Company
9%
University
8%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

How would you compare Databricks vs Amazon SageMaker?
We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...
What do you like most about Amazon SageMaker?
We've had experience with unique ML projects using SageMaker. For example, we're developing a platform similar to ChatGPT that requires models. We utilize Amazon SageMaker to create endpoints for t...
What is your experience regarding pricing and costs for Amazon SageMaker?
Pricing is rated as a six, which is slightly more expensive compared to the budget yet adequate for the capabilities provided. On average, customers pay about $300,000 USD per month.
What do you like most about IBM SPSS Statistics?
The software offers consistency across multiple research projects helping us with predictive analytics capabilities.
What is your experience regarding pricing and costs for IBM SPSS Statistics?
The cost of IBM SPSS Statistics is managed by organizations, not individual researchers. It is a very expensive product, despite being good.
What needs improvement with IBM SPSS Statistics?
IBM SPSS Statistics does not keep you close to your data like KNIME. In KNIME, at every stage, you can see the resulting file and annotate your trail of evidence. It takes you further from your dat...
 

Also Known As

AWS SageMaker, SageMaker
SPSS Statistics
 

Learn More

Video not available
 

Overview

 

Sample Customers

DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit
LDB 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
Find out what your peers are saying about Amazon SageMaker vs. IBM SPSS Statistics and other solutions. Updated: December 2024.
824,053 professionals have used our research since 2012.