Compare Amazon SageMaker and Weights & Biases 
At a Glance
Market Segments
Enterprise (34.9% of reviews)
Small-Business (54.8% of reviews)
Entry-Level Pricing
No pricing available
Free 1 User Per Month
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 SageMakerWeights & Biases
Star Rating
(44)4.7 out of 5
Market Segments
Small-Business (54.8% of reviews)
Pros & Cons
Entry-Level Pricing
Free 1 User Per Month
Browse all 3 pricing plansAmazon SageMaker vs Weights & Biases
- Reviewers felt that Weights & Biases meets the needs of their business better than Amazon SageMaker.
- When comparing quality of ongoing product support, reviewers felt that Weights & Biases is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Amazon SageMaker over Weights & Biases.
Pricing
Entry-Level Pricing
Amazon SageMaker
No pricing availableWeights & Biases
Personal
Free
1 User Per Month
Weights & Biases is free for personal projects.
- Unlimited Experiments
- Unlimited Tracked Hours
- 100 GB storage and artifacts tracking
Free Trial
Amazon SageMaker
No trial information availableWeights & Biases
No trial information availableRatings
Meets Requirements
8.6
38
9.0
37
Ease of Use
8.4
39
8.9
37
Ease of Setup
8.5
26
9.0
24
Ease of Admin
8.4
20
Not enough data
Quality of Support
8.6
34
9.2
28
Has the product been a good partner in doing business?
9.2
20
Not enough data
Product Direction (% positive)
9.1
37
8.4
36
Features by Category
Deployment
Not enough data
8.1
28
Not enough data
8.5
27
Not enough data
8.5
26
Not enough data
8.7
27
Not enough data
8.3
27
Deployment
Not enough data
8.3
26
Not enough data
8.6
27
Not enough data
8.5
25
Not enough data
8.3
27
Not enough data
8.2
27
Management
Not enough data
8.6
26
Not enough data
9.3
28
Not enough data
7.7
25
Not enough data
8.4
24
Operations
Not enough data
8.9
28
Not enough data
7.7
25
Not enough data
8.5
28
Management
Not enough data
8.3
26
Not enough data
9.3
28
Not enough data
7.6
23
Generative AI
Not enough data
5.6
9
Not enough data
5.9
9
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
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 Weights & Biases are categorized as MLOps Platforms
Unique Categories
Amazon SageMaker is categorized as Data Science and Machine Learning Platforms, Generative AI Infrastructure, and Low-Code Machine Learning Platforms
Weights & Biases has no unique categories
Reviews
Reviewers' Company Size
Amazon SageMaker
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Weights & Biases
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%
Research
31.0%
Computer Software
28.6%
Biotechnology
9.5%
Information Technology and Services
4.8%
Consumer Electronics
4.8%
Other
21.4%
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
Weights & Biases has no discussions with answers
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