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Compare Amazon SageMaker and Seldon 
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At a Glance
Market Segments
Small-Business (33.3% of reviews)
Enterprise (45.5% 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)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Amazon SageMakerSeldon
Star Rating
(11)4.3 out of 5
Market Segments
Enterprise (45.5% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about SeldonSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Amazon SageMaker excels in its Managed Service capabilities, with a score of 9.5, making it a preferred choice for those looking for a hassle-free deployment experience. In contrast, Seldon, while also strong, has a slightly lower score of 9.0 in this area.
- Reviewers mention that Seldon shines in AI Multi-cloud Support, providing flexibility for enterprises that require deployment across various cloud environments. This is particularly beneficial for organizations looking to avoid vendor lock-in.
- G2 users highlight the Ease of Deployment in Amazon SageMaker, scoring 9.0, which is attributed to its user-friendly interface and comprehensive documentation. Users on G2 appreciate the straightforward setup process, which can be a significant advantage for small businesses.
- Reviewers say that Seldon offers superior AI Inference Speed, with a score of 9.7, making it ideal for applications that require real-time predictions. This performance is crucial for businesses that rely on immediate data processing.
- Users report that Amazon SageMaker's Model Training capabilities are robust, with a score of 8.9, and they appreciate the variety of Pre-Built Algorithms available, which simplifies the model development process for users with varying levels of expertise.
- Reviewers mention that Seldon provides excellent AI Data Pipeline Integration, which is essential for organizations looking to streamline their data workflows. This feature is particularly noted for its ability to connect seamlessly with existing data infrastructure.
Pricing
Entry-Level Pricing
Amazon SageMaker
No pricing availableSeldon
No pricing availableFree Trial
Amazon SageMaker
No trial information availableSeldon
Free Trial is available
Ratings
Meets Requirements
8.6
37
Not enough data
Ease of Use
8.4
38
Not enough data
Ease of Setup
8.5
25
Not enough data
Ease of Admin
8.4
20
Not enough data
Quality of Support
8.6
33
Not enough data
Has the product been a good partner in doing business?
9.2
20
Not enough data
Product Direction (% positive)
9.0
36
Not enough data
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
Not enough data
Model Development
8.7
29
Not enough data
8.2
28
Feature Not Available
8.3
33
Not enough data
8.9
33
Feature Not Available
Model Development
8.4
19
Feature Not Available
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
Feature Not Available
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 Seldon 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
Seldon has no unique categories
Reviews
Reviewers' Company Size
Amazon SageMaker
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Seldon
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%
Information Technology and Services
45.5%
Computer Software
18.2%
Information Services
9.1%
Defense & Space
9.1%
Banking
9.1%
Other
9.1%
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
Seldon has no discussions with answers
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