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Compare Amazon SageMaker and Weights & Biases 
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At a Glance
Market Segments
Small-Business (33.3% of reviews)
Small-Business (54.8% of reviews)
Entry-Level Pricing
No pricing available
Free 1 User Per Month
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 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 plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Amazon SageMaker excels in its managed service capabilities, with a high scalability rating of 9.0, making it a strong choice for businesses looking to deploy machine learning models efficiently. In contrast, Weights & Biases also offers a managed service but with a slightly lower scalability rating of 9.7, indicating it may handle larger workloads more effectively.
- Reviewers mention that the ease of deployment is a significant advantage for Weights & Biases, which scored 9.1 compared to Amazon SageMaker's 8.6. This suggests that users find Weights & Biases more user-friendly when it comes to getting started with their projects.
- G2 users highlight the superior quality of support provided by Weights & Biases, with a score of 9.1, compared to Amazon SageMaker's 8.7. This indicates that users may receive more responsive and helpful assistance when using Weights & Biases.
- Users on G2 report that Amazon SageMaker's language support is robust, scoring 8.8, which is crucial for teams working with diverse programming languages. Weights & Biases also performs well in this area, but the specific mention of language flexibility in SageMaker may appeal to users with varied tech stacks.
- Reviewers say that both platforms offer strong model training capabilities, with both scoring 8.9. However, users mention that Weights & Biases provides better feature engineering tools, scoring 8.6, which can enhance the model development process significantly.
- Users report that while both platforms have good monitoring capabilities, Weights & Biases stands out with a monitoring score of 9.3, indicating that users may find it easier to track and manage their models effectively compared to Amazon SageMaker's score of 9.3.
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
37
9.0
37
Ease of Use
8.4
38
8.9
37
Ease of Setup
8.5
25
9.0
24
Ease of Admin
8.4
20
Not enough data
Quality of Support
8.6
33
9.2
28
Has the product been a good partner in doing business?
9.2
20
Not enough data
Product Direction (% positive)
9.0
36
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
8.2
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
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
19.0%
Computer Software
16.7%
Marketing and Advertising
4.8%
Internet
4.8%
Hospital & Health Care
4.8%
Other
50.0%
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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