Introducing G2.ai, the future of software buying.Try now
Compare Amazon SageMaker and TensorFlow 
Featured Products
At a Glance
Market Segments
Enterprise (34.9% of reviews)
Small-Business (51.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
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 SageMakerTensorFlow
Star Rating
(136)4.5 out of 5
Market Segments
Small-Business (51.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about TensorFlowSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that TensorFlow excels in model training, with users highlighting its effectiveness for complex neural network tasks. One user mentioned, "I have been using TensorFlow for past 2 months... it was very efficient for doing all the complex neural network things."
- Users say Amazon SageMaker provides a seamless experience for deploying applications, with feedback noting its ability to expedite the deployment process. A reviewer stated, "It's really helps in deploying applications faster and in a very convenient way."
- Reviewers mention that TensorFlow has a strong focus on computer vision capabilities, with users appreciating its built-in functions for video-related applications. One user remarked, "Video related built in functions are a great addition."
- According to verified reviews, Amazon SageMaker shines in its end-to-end support for the machine learning lifecycle, allowing users to manage everything from data preparation to model deployment in one platform. A user noted, "Amazon SageMaker supports the full machine learning workflow—from data preparation to model deployment—in one place."
- G2 reviewers highlight that TensorFlow has a higher overall satisfaction score, indicating a more favorable user experience overall. This is reflected in its G2 Score of 69.76 compared to SageMaker's 59.32, suggesting that TensorFlow users feel more positively about their experience.
- Users report that while both platforms are effective, Amazon SageMaker's ease of use is slightly better, with a score of 8.4. This is supported by feedback emphasizing its intuitive interface, making it easier for users to navigate the machine learning process.
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
38
9.1
119
Ease of Use
8.4
39
8.0
123
Ease of Setup
8.5
26
8.3
101
Ease of Admin
8.4
20
7.9
39
Quality of Support
8.6
34
8.7
106
Has the product been a good partner in doing business?
9.2
20
8.3
36
Product Direction (% positive)
9.1
37
9.2
117
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
8.3
20
8.6
70
Model Development
8.7
29
8.9
97
8.2
28
7.2
83
8.3
33
8.8
97
8.9
33
9.2
96
Model Development
8.4
19
9.0
69
Machine/Deep Learning Services
8.9
26
9.1
95
9.1
28
9.0
89
8.9
25
8.9
87
9.0
28
9.4
97
Machine/Deep Learning Services
9.2
17
8.7
64
9.2
18
9.2
68
Deployment
8.7
33
8.5
80
8.7
33
8.7
90
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
20.9%
Computer Software
16.3%
Marketing and Advertising
4.7%
Internet
4.7%
Hospital & Health Care
4.7%
Other
48.8%
Computer Software
27.3%
Information Technology and Services
19.7%
Research
7.6%
Computer & Network Security
4.5%
Higher Education
3.0%
Other
37.9%
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
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
