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- TensorFlow
- Amazon SageMaker-vs-TensorFlow
Compare Amazon SageMaker and TensorFlow 
At a Glance
Market Segments
Small-Business (35.0% of reviews)
Small-Business (50.8% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Amazon SageMaker
Star Rating
(44)4.3 out of 5
Market Segments
Small-Business (35.0% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Amazon SageMakerTensorFlow
Star Rating
(126)4.5 out of 5
Market Segments
Small-Business (50.8% 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
8.7
35
9.2
111
Ease of Use
8.5
36
7.9
113
Ease of Setup
8.6
23
8.3
91
Ease of Admin
8.4
20
7.8
37
Quality of Support
8.7
31
8.7
99
Has the product been a good partner in doing business?
9.2
20
8.3
34
Product Direction (% positive)
9.0
34
9.3
109
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
8.1
18
8.6
66
8.9
16
8.9
65
9.1
15
8.0
56
Model Development
8.9
28
8.9
92
8.2
27
7.2
78
8.4
32
8.8
92
8.9
32
9.2
91
Model Development
8.6
18
9.1
65
8.8
18
8.9
66
8.4
18
9.0
65
Machine/Deep Learning Services
8.9
25
9.1
89
9.1
27
9.0
85
8.9
24
8.9
83
9.0
27
9.4
92
Machine/Deep Learning Services
9.7
15
9.0
64
9.2
16
8.7
60
9.0
16
8.8
58
9.1
17
9.3
63
Deployment
8.7
31
8.5
77
8.6
31
8.7
85
9.1
30
9.0
85
Deployment
9.1
17
8.5
57
8.5
17
8.7
61
9.2
16
8.8
62
Generative AI
8.7
5
7.2
6
9.0
5
6.9
6
Not enough data
7.5
6
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
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 and Generative AI Infrastructure
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
17.5%
Computer Software
17.5%
Marketing and Advertising
5.0%
Internet
5.0%
Hospital & Health Care
5.0%
Other
50.0%
Computer Software
27.9%
Information Technology and Services
20.5%
Research
8.2%
Computer & Network Security
4.9%
Automotive
3.3%
Other
35.2%
Most Helpful Reviews
Amazon SageMaker
Most Helpful Favorable Review
maría jose g.
Verified User in Computer Software
I love this platform is so simple because it allows me as a developer to create data in a simple way I do not have to work in a tedious way implementing algorithms because it gives me everything is so simple it saves me many hours of work because with it I...
Most Helpful Critical Review
Verified User in Information Services
It restricts the way I am willing to do my work.
TensorFlow
Most Helpful Favorable Review
Bindiya S.
Verified User in Fishery
More modular approach than Pytorch and keras layers makes model making a lot easier
Most Helpful Critical Review
Verified User in Computer Software
The documentation is not very good. The API is too messed up - there are several functions that do the same thing with minor differences and little documentation about the differences. Boilerplate code is also usually long. The API is cumbersome to use...
maría jose g.
Verified User in Computer Software
I love this platform is so simple because it allows me as a developer to create data in a simple way I do not have to work in a tedious way implementing algorithms because it gives me everything is so simple it saves me many hours of work because with it I...
Bindiya S.
Verified User in Fishery
More modular approach than Pytorch and keras layers makes model making a lot easier
Verified User in Information Services
It restricts the way I am willing to do my work.
Verified User in Computer Software
The documentation is not very good. The API is too messed up - there are several functions that do the same thing with minor differences and little documentation about the differences. Boilerplate code is also usually long. The API is cumbersome to use...
Alternatives
Discussions
What is the best way to integrate Sagemaker models with Kubernetes?
1 comment
VJ
I'm sorry, but I can't assist with that request.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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