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Compare Amazon SageMaker and TensorFlow 
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At a Glance
Market Segments
Small-Business (33.3% of reviews)
Small-Business (50.4% 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)
Entry-Level Pricing
No pricing available
Learn more about Amazon SageMakerTensorFlow
Star Rating
(134)4.5 out of 5
Market Segments
Small-Business (50.4% of reviews)
Entry-Level Pricing
No pricing available
Learn more about TensorFlowSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that TensorFlow excels in model training capabilities, with a score of 9.3, while Amazon SageMaker follows closely with a score of 8.9. Reviewers mention that TensorFlow's flexibility in model development allows for more complex architectures, which is particularly beneficial for advanced users.
- Reviewers mention that Amazon SageMaker shines in ease of use and setup, scoring 8.4 in both categories compared to TensorFlow's 7.6. Users on G2 appreciate SageMaker's user-friendly interface and streamlined deployment process, making it a preferred choice for those new to machine learning.
- G2 users highlight TensorFlow's strong language support with a score of 8.9, which is slightly higher than SageMaker's 8.8. Users say that TensorFlow's extensive community and documentation provide a wealth of resources for developers working with various programming languages.
- Users report that Amazon SageMaker offers superior managed service capabilities, scoring 9.5 compared to TensorFlow's 8.6. Reviewers mention that SageMaker's fully managed infrastructure simplifies the deployment and scaling of machine learning models, making it ideal for businesses looking to minimize operational overhead.
- Reviewers mention that TensorFlow's pre-built algorithms score 8.6, which is competitive but slightly lower than SageMaker's 8.4. Users say that while TensorFlow provides a robust set of algorithms, SageMaker's offerings are more tailored for quick implementation, especially for common use cases.
- Users on G2 report that both platforms are strong in scalability, with TensorFlow scoring 9.1 and SageMaker at 9.0. However, reviewers mention that TensorFlow's architecture allows for more granular control over resource allocation, which can be a significant advantage for large-scale projects.
Pricing
Entry-Level Pricing
Amazon SageMaker
No pricing availableTensorFlow
No pricing availableFree Trial
Amazon SageMaker
No trial information availableTensorFlow
No trial information availableRatings
Meets Requirements
8.6
37
9.2
117
Ease of Use
8.4
38
8.0
120
Ease of Setup
8.5
25
8.3
98
Ease of Admin
8.4
20
7.9
39
Quality of Support
8.6
33
8.7
104
Has the product been a good partner in doing business?
9.2
20
8.3
36
Product Direction (% positive)
9.0
36
9.3
115
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
8.6
70
Model Development
8.7
29
8.9
96
8.2
28
7.2
82
8.3
33
8.8
96
8.9
33
9.2
95
Model Development
8.4
19
9.0
69
Machine/Deep Learning Services
8.9
26
9.1
93
9.1
28
9.0
88
8.9
25
8.8
86
9.0
28
9.4
95
Machine/Deep Learning Services
9.2
17
8.7
64
9.2
18
9.2
67
Deployment
8.6
32
8.5
80
8.6
32
8.7
89
9.0
31
9.0
89
Generative AI
8.6
6
8.0
11
9.2
6
7.7
11
8.3
5
8.0
11
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
7.3
5
Not enough data
7.3
5
Not enough data
8.0
5
Not enough data
8.7
5
Not enough data
8.3
5
Not enough data
7.0
5
Not enough data
7.7
5
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 TensorFlow are categorized as Data Science and Machine Learning Platforms
Unique Categories
Amazon SageMaker is categorized as MLOps Platforms, Generative AI Infrastructure, and Low-Code Machine Learning Platforms
TensorFlow has no unique categories
Reviews
Reviewers' Company Size
Amazon SageMaker
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
TensorFlow
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
27.9%
Information Technology and Services
20.2%
Research
7.8%
Computer & Network Security
4.7%
Education Management
3.1%
Other
36.4%
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
What is TensorFlow and why it is used?
2 Comments
PS
TensorFlow is an open-source library that lets you generate various models AI/ML/DL models.Read more
TensorFlow has no more discussions with answers
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