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Compare AWS Trainium and Amazon SageMaker 
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At a Glance
Market Segments
Small-Business (61.5% of reviews)
Small-Business (33.3% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
AWS Trainium
Star Rating
(14)4.5 out of 5
Market Segments
Small-Business (61.5% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about AWS TrainiumAmazon SageMaker
Star Rating
(45)4.3 out of 5
Market Segments
Small-Business (33.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Amazon SageMakerSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Amazon SageMaker excels in its Ease of Use with a score of 8.4, making it a preferred choice for small businesses looking for a user-friendly interface, while AWS Trainium, with a score of 8.6, also offers a solid experience but may require a steeper learning curve for some users.
- Reviewers mention that Amazon SageMaker's Model Training capabilities are robust, scoring 8.9, which is highly praised for its pre-built algorithms that simplify the training process. In contrast, AWS Trainium shines with a score of 9.1, particularly noted for its efficiency in handling large datasets and faster training times.
- G2 users highlight the Scalability of AWS Trainium, which received a score of 9.2, as a significant advantage, especially for enterprises needing to scale their AI models quickly. Amazon SageMaker also performs well with a score of 9.0, but users feel it may not match the rapid scaling capabilities of Trainium.
- Users on G2 report that Amazon SageMaker's Data Ingestion & Wrangling features, scoring 8.1, are somewhat limited compared to AWS Trainium, which scored 8.5 and is praised for its more comprehensive data handling capabilities, making it easier to prepare data for model training.
- Reviewers mention that the Quality of Support for both products is commendable, with Amazon SageMaker scoring 8.7 and AWS Trainium slightly higher at 8.8. Users appreciate the responsiveness and helpfulness of the support teams, but some feel that SageMaker's documentation could be more detailed.
- Users say that the AI Cost per API Call is a critical factor, with Amazon SageMaker scoring 9.2, indicating a more cost-effective solution for smaller businesses. In contrast, AWS Trainium, while offering powerful features, may lead to higher costs that some users find challenging to manage.
Pricing
Entry-Level Pricing
AWS Trainium
No pricing availableAmazon SageMaker
No pricing availableFree Trial
AWS Trainium
No trial information availableAmazon SageMaker
No trial information availableRatings
Meets Requirements
9.0
12
8.6
37
Ease of Use
8.6
12
8.4
38
Ease of Setup
Not enough data
8.5
25
Ease of Admin
Not enough data
8.4
20
Quality of Support
8.8
12
8.6
33
Has the product been a good partner in doing business?
Not enough data
9.2
20
Product Direction (% positive)
10.0
13
9.0
36
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
Not enough data
Not enough data
Not enough data
Not enough data
System
8.5
8
8.2
19
Model Development
9.2
8
8.7
29
8.5
8
8.2
28
9.0
8
8.3
33
9.1
9
8.9
33
Model Development
8.8
7
8.4
19
Machine/Deep Learning Services
8.9
6
8.9
26
8.6
6
9.1
28
9.0
7
8.9
25
9.3
7
9.0
28
Machine/Deep Learning Services
8.9
6
9.2
17
8.8
8
9.2
18
Deployment
8.5
9
8.6
32
8.8
8
8.6
32
9.2
8
9.0
31
Generative AI
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
8.3
5
Agentic AI - Data Science and Machine Learning Platforms
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
Not enough data
Not enough data
Not enough data
Not enough data
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
AWS Trainium and Amazon SageMaker are categorized as Data Science and Machine Learning Platforms
Unique Categories
AWS Trainium has no unique categories
Amazon SageMaker is categorized as MLOps Platforms, Generative AI Infrastructure, and Low-Code Machine Learning Platforms
Reviews
Reviewers' Company Size
AWS Trainium
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Amazon SageMaker
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
Computer Software
23.1%
Computer & Network Security
15.4%
Information Technology and Services
7.7%
Information Services
7.7%
Industrial Automation
7.7%
Other
38.5%
Information Technology and Services
19.0%
Computer Software
16.7%
Marketing and Advertising
4.8%
Internet
4.8%
Hospital & Health Care
4.8%
Other
50.0%
Alternatives
Discussions
AWS Trainium has no discussions with answers
What is the best way to integrate Sagemaker models with Kubernetes?
1 Comment
VJ
https://aws.amazon.com/blogs/machine-learning/introducing-amazon-sagemaker-operators-for-kubernetes/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
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