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Compare TensorFlow and Vertex AI 
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At a Glance
Market Segments
Small-Business (50.4% of reviews)
Small-Business (41.0% of reviews)
Entry-Level Pricing
No pricing available
Pay As You Go Per Month
TensorFlow
Star Rating
(135)4.5 out of 5
Market Segments
Small-Business (50.4% of reviews)
Entry-Level Pricing
No pricing available
Learn more about TensorFlowVertex AI
Star Rating
(593)4.3 out of 5
Market Segments
Small-Business (41.0% of reviews)
Entry-Level Pricing
Pay As You Go Per Month
Free Trial is available
Learn more about Vertex AISummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Vertex AI excels in ease of use with a score of 8.3, making it more accessible for small businesses, while TensorFlow, with a score of 7.9, is noted for having a steeper learning curve, particularly for those new to machine learning.
- Reviewers mention that TensorFlow shines in model training, scoring 9.3 compared to Vertex AI's 8.5. Users appreciate TensorFlow's extensive documentation and community support, which facilitate more complex model implementations.
- G2 users highlight that Vertex AI offers a more user-friendly drag-and-drop interface with a score of 8.0, while TensorFlow's score of 7.3 indicates that its interface may not be as intuitive for users looking for quick deployment of models.
- Reviewers say that TensorFlow outperforms Vertex AI in scalability, with a score of 9.1 versus 8.6. Users report that TensorFlow can handle larger datasets and more complex models effectively, making it a preferred choice for enterprises.
- Users on G2 mention that TensorFlow provides superior support for deep learning applications, scoring 9.3 compared to Vertex AI's 8.5. This is particularly beneficial for users focused on advanced AI projects.
- Reviewers mention that while both platforms have strong natural language processing capabilities, TensorFlow's score of 9.1 outshines Vertex AI's 8.6, with users noting TensorFlow's robust libraries and pre-built models that simplify NLP tasks.
Pricing
Entry-Level Pricing
TensorFlow
No pricing availableVertex AI
Try Vertex AI Free
Pay As You Go
Per Month
New customers get $300 in free credits to spend on Vertex AI.
- A unified UI for the entire ML workflow
- Pre-trained APIs for vision, video, natural language, and more
- End-to-end integration for data and AI
Free Trial
TensorFlow
No trial information availableVertex AI
Free Trial is available
Ratings
Meets Requirements
9.2
117
8.6
359
Ease of Use
8.0
120
8.2
368
Ease of Setup
8.3
98
8.1
291
Ease of Admin
7.9
39
7.9
142
Quality of Support
8.7
104
8.1
335
Has the product been a good partner in doing business?
8.3
36
8.2
136
Product Direction (% positive)
9.3
115
9.2
353
Features by Category
Deployment
Not enough data
8.3
73
Not enough data
8.1
74
Not enough data
8.3
74
Not enough data
8.3
70
Not enough data
8.8
70
Deployment
Not enough data
8.4
73
Not enough data
8.3
72
Not enough data
8.4
71
Not enough data
8.5
71
Not enough data
8.7
69
Management
Not enough data
8.3
70
Not enough data
8.5
69
Not enough data
8.0
69
Not enough data
8.1
69
Operations
Not enough data
8.2
69
Not enough data
8.4
70
Not enough data
8.3
70
Management
Not enough data
8.1
68
Not enough data
8.4
69
Not enough data
8.3
68
Generative AI
Not enough data
8.2
34
Not enough data
8.4
34
System
8.6
70
8.2
170
Model Development
8.9
96
8.5
202
7.2
82
7.9
179
8.8
96
8.4
200
9.2
95
8.5
202
Model Development
9.0
69
8.3
165
Machine/Deep Learning Services
9.1
93
8.2
200
9.0
88
8.4
196
8.8
86
8.2
195
9.4
95
8.2
178
Machine/Deep Learning Services
8.7
64
8.5
165
9.2
67
8.5
163
Deployment
8.5
80
8.2
193
8.7
89
8.3
194
9.0
89
8.5
193
Generative AI
8.0
11
8.3
102
7.7
11
8.3
102
8.0
11
8.1
103
Agentic AI - Data Science and Machine Learning Platforms
7.3
5
8.1
34
7.3
5
7.9
34
8.0
5
7.7
34
8.7
5
7.9
34
8.3
5
8.5
34
7.0
5
7.8
34
7.7
5
8.0
34
Scalability and Performance - Generative AI Infrastructure
Not enough data
8.9
28
Not enough data
8.6
28
Not enough data
8.5
28
Cost and Efficiency - Generative AI Infrastructure
Not enough data
8.2
28
Not enough data
7.8
28
Not enough data
7.9
28
Integration and Extensibility - Generative AI Infrastructure
Not enough data
8.4
28
Not enough data
8.1
28
Not enough data
8.3
28
Security and Compliance - Generative AI Infrastructure
Not enough data
8.6
28
Not enough data
8.5
28
Not enough data
8.9
28
Usability and Support - Generative AI Infrastructure
Not enough data
8.2
28
Not enough data
8.3
28
Integration - Machine Learning
Not enough data
8.5
67
Learning - Machine Learning
Not enough data
8.5
66
Not enough data
8.3
65
Not enough data
8.8
66
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
9.0
23
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
8.8
23
Not enough data
9.0
23
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
8.8
23
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
9.3
23
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
9.1
23
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
9.2
22
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
9.1
23
Not enough data
8.7
22
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
9.0
22
Not enough data
8.9
22
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
8.8
22
Not enough data
9.1
22
Security - Large Language Model Operationalization (LLMOps)
Not enough data
9.1
23
Not enough data
9.0
23
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
8.9
23
Customization - AI Agent Builders
Not enough data
8.5
27
Not enough data
7.6
27
Not enough data
8.3
26
Functionality - AI Agent Builders
Not enough data
8.1
27
Not enough data
7.3
27
Not enough data
8.2
26
Not enough data
7.2
27
Data and Analytics - AI Agent Builders
Not enough data
7.7
25
Not enough data
7.9
27
Not enough data
8.0
27
Integration - AI Agent Builders
Not enough data
8.7
27
Not enough data
8.0
27
Not enough data
8.0
27
Not enough data
7.5
27
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
TensorFlow and Vertex AI are categorized as Data Science and Machine Learning Platforms
Unique Categories
TensorFlow has no unique categories
Vertex AI is categorized as Large Language Model Operationalization (LLMOps), Generative AI Infrastructure, MLOps Platforms, Machine Learning, AI Agent Builders, and Low-Code Machine Learning Platforms
Reviews
Reviewers' Company Size
TensorFlow
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Vertex AI
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
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%
Computer Software
17.7%
Information Technology and Services
13.9%
Financial Services
7.0%
Retail
3.8%
Hospital & Health Care
3.4%
Other
54.2%
Alternatives
Discussions
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
What is Google Cloud AI Platform used for?
2 Comments
KS
Google cloud AI Platform enables us to build Machine learning models, that works on any type and any size of data. Read more
What software libraries does cloud ML engine support?
2 Comments
JP
It's supporting approx all trending libraries.Read more
What is Google AI platform?
1 Comment
ZM
The Google AI Platform is a comprehensive set of tools and services provided by Google Cloud to develop, deploy, and manage artificial intelligence. It...Read more
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