- Home
- ...
- Data Science and Machine Learning Platforms
- Amazon SageMaker
- IBM Decision Optimization
- Amazon SageMaker-vs-IBM Decision Optimization
Compare Amazon SageMaker and IBM Decision Optimization 
At a Glance
Market Segments
Small-Business (36.1% of reviews)
Enterprise (60.0% of reviews)
Entry-Level Pricing
No pricing available
Free
Amazon SageMaker
Star Rating
(39)4.2 out of 5
Market Segments
Small-Business (36.1% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Amazon SageMakerIBM Decision Optimization
Star Rating
(41)4.5 out of 5
Market Segments
Enterprise (60.0% of reviews)
Entry-Level Pricing
Free
Browse all 2 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Amazon SageMaker excels in its Drag and Drop feature, making it easier for users to build and deploy machine learning models without extensive coding knowledge, while IBM Decision Optimization's Drag and Drop functionality is noted to be less intuitive, which can hinder user experience.
- Reviewers mention that Amazon SageMaker's Model Training capabilities are highly rated, with a score of 8.9, indicating robust support for various machine learning tasks, whereas IBM Decision Optimization's score of 7.4 suggests it may not be as effective in this area, leading to longer training times and less efficient model development.
- G2 users highlight that Amazon SageMaker offers superior Scalability with a score of 9.7, allowing businesses to handle larger datasets and more complex models seamlessly, while IBM Decision Optimization's scalability score of 8.8 indicates it may struggle under similar demands.
- Users on G2 report that Amazon SageMaker provides better Integration options, particularly with its AI Data Pipeline Integration, which facilitates smoother workflows across different platforms, whereas IBM Decision Optimization's integration capabilities are perceived as more limited, potentially leading to data silos.
- Reviewers say that Amazon SageMaker's Quality of Support is consistently rated high at 8.7, with many users praising the responsiveness and helpfulness of the support team, while IBM Decision Optimization's support, rated at 8.6, is seen as slightly less effective, which can impact user satisfaction.
- Users report that Amazon SageMaker's Pre-Built Algorithms are diverse and well-optimized, scoring 8.4, which allows users to quickly implement solutions, while IBM Decision Optimization's score of 8.0 suggests a more limited selection, potentially slowing down the development process for users looking for quick implementations.
Featured Products
Sponsored
Squirro
(8)
Data Science and Machine Learning Platforms
Visit Website
Pricing
Entry-Level Pricing
Amazon SageMaker
No pricing availableIBM Decision Optimization
IBM ILOG CPLEX Optimization Studio Free edition
Free
Explore and learn optimization and constraint programming modeling with our free edition. Try free edition:
https://www.ibm.com/account/reg/signup?formid=urx-20028
- Limited to 1000 variables and 1000 constraints, but models can be edited
- Use both the OPL/IDE and API modeling/solving
Free Trial
Amazon SageMaker
No trial information availableIBM Decision Optimization
Free Trial is available
Ratings
Meets Requirements
8.8
32
8.4
30
Ease of Use
8.4
32
8.7
30
Ease of Setup
8.4
19
8.3
14
Ease of Admin
8.4
18
8.7
14
Quality of Support
8.7
28
8.6
30
Has the product been a good partner in doing business?
9.3
18
9.2
14
Product Direction (% positive)
8.8
30
8.0
29
Features by Category
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Operations
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
System
8.1
15
7.2
9
8.8
13
8.0
9
9.0
12
7.8
9
Model Development
8.9
25
7.9
7
8.3
24
8.3
7
8.4
29
8.3
7
8.9
29
7.4
7
Model Development
8.6
15
8.0
9
8.9
15
7.8
9
8.6
15
7.4
9
Machine/Deep Learning Services
9.2
22
7.9
7
9.0
24
7.4
7
8.8
21
6.9
7
9.0
24
6.9
7
Machine/Deep Learning Services
9.6
12
7.7
8
9.2
13
7.3
8
9.0
13
8.1
8
9.0
14
7.5
8
Deployment
8.8
28
8.3
7
8.6
28
8.1
7
9.0
27
7.6
7
Deployment
9.5
14
8.3
7
8.8
14
8.3
7
9.7
13
8.8
7
Generative AI
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Integration
Not enough data
Not enough data
Not enough data
Not enough data
Business Logic
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Scalability and Performance - Generative AI Infrastructure
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Security and Compliance - Generative AI Infrastructure
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Usability and Support - Generative AI Infrastructure
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Categories
Categories
Shared Categories
Amazon SageMaker and IBM Decision Optimization are categorized as Data Science and Machine Learning Platforms
Unique Categories
Amazon SageMaker is categorized as MLOps Platforms and Generative AI Infrastructure
IBM Decision Optimization is categorized as Decision Management Platforms
Reviews
Reviewers' Company Size
Amazon SageMaker
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM Decision Optimization
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
19.4%
Computer Software
19.4%
Marketing and Advertising
5.6%
Internet
5.6%
Higher Education
5.6%
Other
44.4%
Financial Services
14.3%
Education Management
11.4%
Computer Software
11.4%
Transportation/Trucking/Railroad
5.7%
Research
5.7%
Other
51.4%
Most Helpful Reviews
Amazon SageMaker
Most Helpful Favorable Review
Anil Sai B.
Verified User in Farming
I love AWS services and this one is no different. We are very much in the AWS world so deploying models using Sagemaker is seamless. The ease of building and training models is definitely a plus.
Most Helpful Critical Review
Verified User in Oil & Energy
Takes a long time to spin up plus setting up a virtual environment within sagemaker is almost impossible
IBM Decision Optimization
Most Helpful Favorable Review
MUSTAFA V.
Verified User in Education Management
Helpfull to collect and analyze decision data. I find it usefull
Most Helpful Critical Review
Verified User in Financial Services
Blackbox solution that does not meet regulatory requirements.
Anil Sai B.
Verified User in Farming
I love AWS services and this one is no different. We are very much in the AWS world so deploying models using Sagemaker is seamless. The ease of building and training models is definitely a plus.
MUSTAFA V.
Verified User in Education Management
Helpfull to collect and analyze decision data. I find it usefull
Verified User in Oil & Energy
Takes a long time to spin up plus setting up a virtual environment within sagemaker is almost impossible
Verified User in Financial Services
Blackbox solution that does not meet regulatory requirements.
Alternatives
Discussions
What is the best way to integrate Sagemaker models with Kubernetes?
1 comment
VJ
I'm sorry, but I can't assist with that request.Read more
How do i make this platform reach to most of my developers?
1 comment
VJ
you can manage the access via IAM users and roles and give them access as per their need, Sagemaker by default has all the basic AWS feature and you can...Read more
Amazon SageMaker has no more discussions with answers
IBM Decision Optimization has no discussions with answers
Hunting for software insights?
With over 2.5 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
or continue with
Gmail.com addresses not permitted. A business domain using Google is allowed.
By proceeding, you agree to our Terms of Use and Privacy Policy
