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Amazon SageMaker vs IBM Watson Studio comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Dec 4, 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
8.7
IBM SPSS Statistics delivers 50% ROI by streamlining data analysis, saving time and money for organizations and universities.
Sentiment score
7.6
Amazon SageMaker offers cost-effective AI model deployment, delivering significant financial savings and efficiency, especially for AWS users.
No sentiment score available
 

Customer Service

Sentiment score
6.6
IBM SPSS Statistics users experience varied customer service, generally finding it good; some appreciate prompt assistance, others rarely need support.
Sentiment score
7.1
Amazon SageMaker support is valued for technical assistance and documentation, though response times vary, especially for non-premium users.
No sentiment score available
 

Scalability Issues

Sentiment score
6.5
Users report mixed scalability with IBM SPSS, affected by dataset size, infrastructure, and comparisons to competitors like SAS.
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
7.6
IBM Watson Studio is praised for scalability, supporting data growth and users, with flexible horizontal and vertical expansion capabilities.
 

Stability Issues

Sentiment score
7.6
IBM SPSS Statistics is reliable, handling large datasets well, though minor issues may occur with low RAM environments.
No sentiment score available
Sentiment score
7.6
Users highly rate IBM Watson Studio for its stability and reliability, especially in private cloud setups, outperforming competitors.
 

Room For Improvement

IBM SPSS Statistics needs improvements in visualization, pricing, interface, integration, documentation, and automation for better user experience.
Amazon SageMaker's pricing is high, with complex features and unclear documentation; interface and integration improvements are needed.
IBM Watson Studio needs better navigation, UI, support, and documentation for improved usability and seamless data workflows.
 

Setup Cost

IBM SPSS Statistics is costly, with advanced models up to $7,000, though discounts exist for educational and developing regions.
Amazon SageMaker's complex pricing can be expensive, with costs primarily driven by compute resources on a pay-as-you-go model.
IBM Watson Studio's pricing varies, seen as expensive by some, with regional differences affecting affordability, especially in Africa.
 

Valuable Features

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

Categories and Ranking

IBM SPSS Statistics
Sponsored
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)
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 Watson Studio
Ranking in Data Science Platforms
12th
Average Rating
8.2
Reviews Sentiment
7.1
Number of Reviews
13
Ranking in other categories
AI Development Platforms (9th)
 

Mindshare comparison

As of December 2024, in the Data Science Platforms category, the mindshare of IBM SPSS Statistics is 2.7%, up from 2.7% compared to the previous year. The mindshare of Amazon SageMaker is 7.5%, down from 10.1% compared to the previous year. The mindshare of IBM Watson Studio is 2.1%, down from 2.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
 

Featured Reviews

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.
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.
Abilio Duarte - PeerSpot reviewer
A highly robust and well-documented platform that simplifies the complex world of AI
The main challenge lies in visibility and ease of use. Providing training sessions can be immensely helpful in helping users navigate and understand the tool's potential. This approach would empower users to explore and make the most of the tools and technologies at their disposal. Another area where IBM could enhance its offering is by providing more visibility to end users regarding the vast potential that Watson offers.
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
9%
University
8%
Manufacturing Company
8%
Financial Services Firm
18%
Educational Organization
14%
Computer Software Company
11%
Manufacturing Company
9%
Financial Services Firm
15%
Computer Software Company
12%
Manufacturing Company
9%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

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 produ...
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 result...
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 designe...
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 Cha...
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 ...
What needs improvement with IBM Watson Studio?
From an improvement perspective, I would say that if the deployment environment and IBM Watson Studio's environment a...
 

Also Known As

SPSS Statistics
AWS SageMaker, SageMaker
Watson Studio, IBM Data Science Experience, Data Science Experience, DSx
 

Learn More

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Overview

 

Sample Customers

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