Compare Amazon SageMaker and Domino Enterprise AI Platform 
Featured Products
At a Glance
Market Segments
Enterprise (34.9% of reviews)
Enterprise (48.1% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Amazon SageMaker
Star Rating
(48)4.2 out of 5
Market Segments
Enterprise (34.9% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Amazon SageMakerDomino Enterprise AI Platform
Star Rating
(28)4.3 out of 5
Market Segments
Enterprise (48.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Domino Enterprise AI PlatformAmazon SageMaker vs Domino Enterprise AI Platform
When assessing the two solutions, reviewers found them equally easy to use. However, Amazon SageMaker is easier to set up and administer.reviewers also preferred doing business with Amazon SageMaker overall.
- Reviewers felt that Amazon SageMaker meets the needs of their business better than Domino Enterprise AI Platform.
- 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 Amazon SageMaker over Domino Enterprise AI Platform.
Pricing
Entry-Level Pricing
Amazon SageMaker
No pricing availableDomino Enterprise AI Platform
No pricing availableFree Trial
Amazon SageMaker
No trial information availableDomino Enterprise AI Platform
Free Trial is available
Ratings
Meets Requirements
8.6
38
8.4
22
Ease of Use
8.4
39
8.4
22
Ease of Setup
8.5
26
7.8
9
Ease of Admin
8.4
20
8.1
6
Quality of Support
8.6
34
8.1
20
Has the product been a good partner in doing business?
9.2
20
8.6
6
Product Direction (% positive)
9.1
37
9.0
23
Features by Category
Deployment
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
7.1
7
Not enough data
6.4
7
Not enough data
8.1
7
Deployment
Not enough data
9.0
7
Not enough data
8.6
7
Not enough data
8.6
7
Not enough data
8.1
7
Not enough data
8.8
7
Management
Not enough data
7.8
6
Not enough data
8.6
6
Not enough data
8.9
6
Not enough data
8.6
7
Operations
Not enough data
8.6
6
Not enough data
8.3
6
Not enough data
8.6
6
Management
Not enough data
8.6
6
Not enough data
9.3
5
Not enough data
8.3
6
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
System
8.3
20
8.1
15
Model Development
8.7
29
8.5
17
8.2
28
Feature Not Available
8.3
33
8.1
17
8.9
33
8.6
17
Model Development
8.4
19
8.2
14
Machine/Deep Learning Services
8.9
26
8.4
16
9.1
28
8.7
17
8.9
25
8.3
16
9.0
28
8.3
17
Machine/Deep Learning Services
9.2
17
8.2
14
9.2
18
8.2
14
Deployment
8.7
33
8.2
17
8.7
33
8.6
17
9.0
31
8.1
17
Generative AI
8.6
6
7.6
7
9.2
6
7.6
7
8.3
5
7.6
7
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 Domino Enterprise AI Platform are categorized as MLOps Platforms and Data Science and Machine Learning Platforms
Unique Categories
Amazon SageMaker is categorized as Generative AI Infrastructure and Low-Code Machine Learning Platforms
Domino Enterprise AI Platform has no unique categories
Reviews
Reviewers' Company Size
Amazon SageMaker
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Domino Enterprise AI Platform
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
20.9%
Computer Software
16.3%
Marketing and Advertising
4.7%
Internet
4.7%
Hospital & Health Care
4.7%
Other
48.8%
Computer Software
25.9%
Information Technology and Services
18.5%
Consulting
7.4%
Retail
7.4%
Insurance
7.4%
Other
33.3%
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
Dominoes Integration
1 Comment
Official Response from Domino Enterprise AI Platform
Absolutely – please visit https://docs.dominodatalab.com/en/latest/api_guide/f35c19/api-guide/Read more
Is Domino an IDE?
1 Comment
Official Response from Domino Enterprise AI Platform
No. Domino is a data science and Enterprise MLOps platform that allows data scientists to install a variety of IDEs such as JupyterLab, R Studio, PyCharm,...Read more
What is Domino machine learning?
1 Comment
Official Response from Domino Enterprise AI Platform
Domino supports a wide variety of machine learning algorithms, from supervised and unsupervised machine learning, to reinforcement learning and deep...Read more
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