Compare Amazon SageMaker and Labelbox 
Featured Products
At a Glance
Market Segments
Enterprise (34.9% of reviews)
Small-Business (46.8% 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 SageMakerLabelbox
Star Rating
(47)4.5 out of 5
Market Segments
Small-Business (46.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about LabelboxAmazon SageMaker vs Labelbox
When assessing the two solutions, reviewers found Labelbox easier to use, set up, and administer. However, reviewers preferred doing business with Amazon SageMaker overall.
- Reviewers felt that Labelbox meets the needs of their business better than Amazon SageMaker.
- When comparing quality of ongoing product support, reviewers felt that Labelbox is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Amazon SageMaker over Labelbox.
Pricing
Entry-Level Pricing
Amazon SageMaker
No pricing availableLabelbox
No pricing availableFree Trial
Amazon SageMaker
No trial information availableLabelbox
Free Trial is available
Ratings
Meets Requirements
8.6
38
9.0
41
Ease of Use
8.4
39
9.0
41
Ease of Setup
8.5
26
9.0
21
Ease of Admin
8.4
20
9.0
5
Quality of Support
8.6
34
9.0
39
Has the product been a good partner in doing business?
9.2
20
8.7
5
Product Direction (% positive)
9.1
37
9.0
35
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
8.3
20
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
8.7
33
Not enough data
8.7
33
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
Quality
Not enough data
9.1
27
Not enough data
8.9
27
Not enough data
9.1
28
Not enough data
8.6
26
Automation
Not enough data
8.5
25
Not enough data
8.3
24
Image Annotation
Not enough data
8.7
26
Not enough data
8.5
25
Not enough data
8.7
24
Not enough data
8.8
24
Natural Language Annotation
Not enough data
8.9
23
Not enough data
8.3
22
Not enough data
8.7
20
Speech Annotation
Not enough data
8.3
19
Not enough data
7.8
19
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
Model Training & Optimization - Active Learning Tools
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 Management & Annotation - Active Learning Tools
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
Model Performance & Analysis - Active Learning Tools
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
Categories
Categories
Shared Categories
Amazon SageMaker and Labelbox 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
Labelbox is categorized as Active Learning Tools and Data Labeling
Reviews
Reviewers' Company Size
Amazon SageMaker
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Labelbox
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%
Education Management
4.7%
Other
48.8%
Computer Software
31.9%
Information Technology and Services
14.9%
Accounting
4.3%
Automotive
4.3%
Biotechnology
4.3%
Other
40.4%
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
How do I download Labelbox?
2 Comments
NB
Hi! You can try it for free here https://app.labelbox.com/signup. Read more
Labelbox has no more discussions with answers
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