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Compare Amazon SageMaker and Ansys LS-DYNA 
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At a Glance
Market Segments
Small-Business (33.3% of reviews)
Small-Business (50.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Amazon 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 SageMakerAnsys LS-DYNA
Star Rating
(45)4.5 out of 5
Market Segments
Small-Business (50.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Ansys LS-DYNAAmazon SageMaker vs Ansys LS-DYNA
- Reviewers felt that Ansys LS-DYNA meets the needs of their business better than Amazon SageMaker.
- When comparing quality of ongoing product support, reviewers felt that Amazon SageMaker is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Ansys LS-DYNA over Amazon SageMaker.
Pricing
Entry-Level Pricing
Amazon SageMaker
No pricing availableAnsys LS-DYNA
No pricing availableFree Trial
Amazon SageMaker
No trial information availableAnsys LS-DYNA
No trial information availableRatings
Meets Requirements
8.6
37
8.7
31
Ease of Use
8.4
38
7.6
32
Ease of Setup
8.5
25
7.7
5
Ease of Admin
8.4
20
Not enough data
Quality of Support
8.6
33
8.2
30
Has the product been a good partner in doing business?
9.2
20
Not enough data
Product Direction (% positive)
9.0
36
9.2
28
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
Design
Not enough data
6.6
17
Not enough data
7.1
16
Not enough data
7.6
17
Not enough data
7.4
15
Tools
Not enough data
8.3
13
Not enough data
9.0
21
Not enough data
8.2
17
Work
Not enough data
7.7
16
Not enough data
8.4
15
Not enough data
8.1
16
Not enough data
8.0
11
Not enough data
8.3
12
Environment
Not enough data
8.7
10
Not enough data
8.5
11
Not enough data
8.7
9
Not enough data
8.0
14
System
8.2
19
Not enough data
Model Development
8.7
29
Not enough data
8.2
28
Not enough data
8.3
33
Not enough data
8.9
33
Not enough data
Model Development
8.4
19
Not enough data
Machine/Deep Learning Services
8.9
26
Not enough data
9.1
28
Not enough data
8.9
25
Not enough data
9.0
28
Not enough data
Machine/Deep Learning Services
9.2
17
Not enough data
9.2
18
Not enough data
Deployment
8.6
32
Not enough data
8.6
32
Not enough data
9.0
31
Not enough data
Generative AI
8.6
6
Not enough data
9.2
6
Not enough data
8.3
5
Not enough data
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
Amazon SageMaker and Ansys LS-DYNA share no categories
Unique Categories
Amazon SageMaker is categorized as MLOps Platforms, Data Science and Machine Learning Platforms, Generative AI Infrastructure, and Low-Code Machine Learning Platforms
Ansys LS-DYNA is categorized as Simulation & CAE
Reviews
Reviewers' Company Size
Amazon SageMaker
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Ansys LS-DYNA
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
19.0%
Computer Software
16.7%
Marketing and Advertising
4.8%
Internet
4.8%
Hospital & Health Care
4.8%
Other
50.0%
Automotive
31.0%
Higher Education
11.9%
Research
7.1%
Defense & Space
7.1%
Aviation & Aerospace
7.1%
Other
35.7%
Alternatives
Discussions
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
Ansys LS-DYNA has no discussions with answers
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