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Compare Amazon SageMaker and H2O 
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At a Glance
Market Segments
Small-Business (33.3% of reviews)
Small-Business (54.5% 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)
Entry-Level Pricing
No pricing available
Learn more about Amazon SageMakerH2O
Star Rating
(24)4.5 out of 5
Market Segments
Small-Business (54.5% of reviews)
Entry-Level Pricing
No pricing available
Learn more about H2OSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that H2O excels in its Drag and Drop functionality, with a score of 8.8, making it easier for users to build models without extensive coding knowledge. In contrast, Amazon SageMaker also offers a solid drag-and-drop interface but scores slightly lower at 8.3, indicating that while it is user-friendly, it may not be as intuitive as H2O's.
- Reviewers mention that H2O's Pre-Built Algorithms feature is highly praised, scoring 9.4, which allows users to quickly implement machine learning models. Conversely, Amazon SageMaker's pre-built algorithms score 8.4, suggesting that while it offers a variety of options, it may not be as comprehensive or user-friendly as H2O's offerings.
- G2 users highlight H2O's strong performance in Model Training, with a score of 9.2, indicating that users find it efficient and effective for training models. Amazon SageMaker, while also effective, scores 8.9, suggesting that it may not be as robust in this area as H2O.
- Users on G2 report that Amazon SageMaker shines in Scalability, achieving a score of 9.7, which indicates its ability to handle large datasets and complex models effectively. H2O, while still strong with a score of 8.6, may not match the scalability capabilities of SageMaker, particularly for enterprise-level applications.
- Reviewers mention that H2O's Quality of Support is rated at 8.8, reflecting a positive experience with customer service and resources. In comparison, Amazon SageMaker's support is rated slightly lower at 8.7, indicating that while it is still good, H2O may provide a more responsive support experience.
- Users say that H2O's Product Direction score of 6.4 suggests some concerns about its future development and updates, while Amazon SageMaker's score of 8.8 indicates a more positive outlook on its ongoing improvements and feature enhancements, making it a potentially safer choice for long-term investment.
Pricing
Entry-Level Pricing
Amazon SageMaker
No pricing availableH2O
No pricing availableFree Trial
Amazon SageMaker
No trial information availableH2O
Free Trial is available
Ratings
Meets Requirements
8.6
37
8.0
15
Ease of Use
8.4
38
9.0
14
Ease of Setup
8.5
25
7.8
6
Ease of Admin
8.4
20
8.3
6
Quality of Support
8.6
33
8.8
13
Has the product been a good partner in doing business?
9.2
20
8.3
5
Product Direction (% positive)
9.0
36
6.4
13
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
8.2
19
8.5
8
Model Development
8.7
29
8.3
8
8.2
28
8.3
8
8.3
33
9.4
8
8.9
33
9.2
8
Model Development
8.4
19
9.0
8
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
9.0
5
Machine/Deep Learning Services
9.2
17
Not enough data
9.2
18
9.0
5
Deployment
8.6
32
8.1
6
8.6
32
8.0
5
9.0
31
8.6
6
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
Core Functionality - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Handling - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Performance - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Usability - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Features - Artificial Neural Network
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
Agentic AI - Artificial Neural Network
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
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
Statistical Tool
Not enough data
8.1
6
Not enough data
Not enough data
Not enough data
8.3
5
Data Analysis
Not enough data
8.7
5
Not enough data
8.0
5
Decision Making
Not enough data
9.0
5
Not enough data
Not enough data
Not enough data
8.3
5
Not enough data
7.0
5
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Amazon SageMaker and H2O are categorized as Data Science and Machine Learning Platforms and Generative AI Infrastructure
Unique Categories
Amazon SageMaker is categorized as MLOps Platforms and Low-Code Machine Learning Platforms
H2O is categorized as Artificial Neural Network and Predictive Analytics
Reviews
Reviewers' Company Size
Amazon SageMaker
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
H2O
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%
Financial Services
13.6%
Retail
9.1%
Research
9.1%
Marketing and Advertising
9.1%
Information Technology and Services
9.1%
Other
50.0%
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
H2O has no discussions with answers
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