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Compare Google Cloud AutoML and TensorFlow 
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At a Glance
Market Segments
Small-Business (45.5% of reviews)
Small-Business (50.4% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Google Cloud AutoML
Star Rating
(22)4.1 out of 5
Market Segments
Small-Business (45.5% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Google Cloud AutoMLTensorFlow
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 with a score of 9.3, highlighting its robust capabilities for deep learning projects, while Google Cloud AutoML, with a score of 9.0, is noted for its ease of use in model development, making it more accessible for beginners.
- Reviewers mention that TensorFlow offers superior pre-built algorithms (9.2) which are highly customizable, whereas Google Cloud AutoML's pre-built algorithms (8.6) are praised for their simplicity and effectiveness in quick deployments.
- G2 users indicate that TensorFlow's language support (8.9) is more extensive, allowing for greater flexibility in programming, while Google Cloud AutoML's language support (8.7) is still strong but slightly less versatile.
- Users on G2 highlight TensorFlow's advanced feature engineering capabilities (8.8), which are essential for complex data manipulation, whereas Google Cloud AutoML is recognized for its user-friendly drag-and-drop interface (6.6), making it easier for non-technical users to create models.
- Reviewers say that TensorFlow's scalability (9.1) is a significant advantage for large-scale applications, while Google Cloud AutoML's scalability (8.8) is adequate but may not meet the demands of very large datasets as effectively.
- Users report that TensorFlow's quality of support (8.4) is generally better, with more resources available for troubleshooting, compared to Google Cloud AutoML's support (7.6), which some users find lacking in depth and responsiveness.
Pricing
Entry-Level Pricing
Google Cloud AutoML
No pricing availableTensorFlow
No pricing availableFree Trial
Google Cloud AutoML
No trial information availableTensorFlow
No trial information availableRatings
Meets Requirements
8.6
14
9.2
117
Ease of Use
8.6
14
8.0
120
Ease of Setup
7.4
11
8.3
98
Ease of Admin
7.9
12
7.9
39
Quality of Support
7.5
14
8.7
104
Has the product been a good partner in doing business?
8.3
11
8.3
36
Product Direction (% positive)
8.9
11
9.3
115
Features by Category
System
Not enough data
8.6
70
Model Development
Not enough data
8.9
96
Not enough data
7.2
82
Not enough data
8.8
96
Not enough data
9.2
95
Model Development
Not enough data
9.0
69
Machine/Deep Learning Services
Not enough data
9.1
93
Not enough data
9.0
88
Not enough data
8.8
86
Not enough data
9.4
95
Machine/Deep Learning Services
Not enough data
8.7
64
Not enough data
9.2
67
Deployment
Not enough data
8.5
80
Not enough data
8.7
89
Not enough data
9.0
89
Generative AI
Not enough data
8.0
11
Not enough data
7.7
11
Not enough data
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
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
Google Cloud AutoML and TensorFlow are categorized as Data Science and Machine Learning Platforms
Unique Categories
Google Cloud AutoML is categorized as Low-Code Machine Learning Platforms
TensorFlow has no unique categories
Reviews
Reviewers' Company Size
Google Cloud AutoML
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
Research
13.6%
Information Technology and Services
13.6%
Computer Software
9.1%
Program Development
4.5%
Pharmaceuticals
4.5%
Other
54.5%
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
Google Cloud AutoML has no 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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