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Compare Amazon SageMaker and Labelbox 
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At a Glance
Market Segments
Small-Business (33.3% of reviews)
Small-Business (46.8% 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 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 LabelboxSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Amazon SageMaker excels in its "Managed Service" deployment, with a score of 9.5, making it a strong choice for businesses looking for a hassle-free setup. In contrast, Labelbox, while also offering a managed service, scored slightly lower at 9.0, indicating that SageMaker may provide a more seamless experience for users.
- Reviewers mention that Labelbox shines in "Data Labeling Workflow Enhancement," achieving a high score of 9.3 for its labeler quality, which is crucial for ensuring accurate data annotation. Amazon SageMaker, while strong in model training, does not focus as heavily on this aspect, scoring lower in user satisfaction for data quality at 9.1.
- G2 users highlight the "Ease of Use" of Labelbox, which scored 9.0, making it more user-friendly compared to Amazon SageMaker's score of 8.4. This suggests that Labelbox may be better suited for teams with less technical expertise.
- Users on G2 report that Amazon SageMaker's "Model Training Efficiency" is a standout feature, scoring 8.9, which is essential for organizations looking to optimize their machine learning workflows. Labelbox, while effective, does not emphasize this area as strongly, indicating a potential gap for users focused on training performance.
- Reviewers mention that Labelbox's "Human-in-the-Loop" feature, scoring 8.9, enhances the quality of machine learning models by allowing human oversight in the labeling process. In comparison, Amazon SageMaker's focus is more on automated processes, which may not suit all users' needs for human intervention.
- Users say that Amazon SageMaker's "Scalability" is a significant advantage, with a score of 9.0, making it ideal for businesses anticipating growth. Labelbox also performs well in scalability with a score of 9.7, but users note that SageMaker's infrastructure is particularly robust for large-scale deployments.
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
37
9.0
41
Ease of Use
8.4
38
9.0
41
Ease of Setup
8.5
25
9.0
21
Ease of Admin
8.4
20
9.0
5
Quality of Support
8.6
33
9.0
39
Has the product been a good partner in doing business?
9.2
20
8.7
5
Product Direction (% positive)
9.0
36
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
8.2
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
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
19.0%
Computer Software
16.7%
Marketing and Advertising
4.8%
Internet
4.8%
Hospital & Health Care
4.8%
Other
50.0%
Computer Software
31.9%
Information Technology and Services
14.9%
Research
4.3%
Hospitality
4.3%
E-Learning
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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