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Compare Saturn Cloud and Vertex AI 
Featured Products
At a Glance
Market Segments
Small-Business (82.4% of reviews)
Small-Business (41.1% of reviews)
Entry-Level Pricing
Contact Us
Pay As You Go Per Month
Saturn Cloud
Star Rating
(319)4.8 out of 5
Market Segments
Small-Business (82.4% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Browse all 3 pricing plansVertex AI
Star Rating
(596)4.3 out of 5
Market Segments
Small-Business (41.1% of reviews)
Pros & Cons
Entry-Level Pricing
Pay As You Go Per Month
Free Trial is available
Learn more about Vertex AISaturn Cloud vs Vertex AI
When assessing the two solutions, reviewers found Saturn Cloud easier to use, set up, and administer. Reviewers also preferred doing business with Saturn Cloud overall.
- Reviewers felt that Saturn Cloud meets the needs of their business better than Vertex AI.
- When comparing quality of ongoing product support, reviewers felt that Saturn Cloud is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Saturn Cloud over Vertex AI.
Pricing
Entry-Level Pricing
Saturn Cloud
Saturn Cloud On-Premise
Contact Us
Installs in cloud environments offered by AWS, Microsoft Azure, Google, Oracle, and CoreWeave
- Installs in cloud environments offered by AWS, Microsoft Azure, Google, Oracle, and CoreWeave
- Pay-as-you-go pricing with no upfront cost
- Advanced security: SSO and installation into custom VPCs and private subnets available
Vertex 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
Saturn Cloud
Free Trial is available
Vertex AI
Free Trial is available
Ratings
Meets Requirements
9.3
274
8.6
360
Ease of Use
9.4
280
8.2
369
Ease of Setup
9.0
79
8.1
292
Ease of Admin
9.2
30
7.9
142
Quality of Support
9.3
249
8.1
336
Has the product been a good partner in doing business?
9.0
27
8.2
136
Product Direction (% positive)
9.3
269
9.2
354
Features by Category
Deployment
9.0
42
8.3
73
9.2
44
8.1
74
9.2
42
8.3
74
9.6
43
8.3
70
9.5
40
8.8
70
Deployment
9.4
40
8.4
73
9.1
43
8.3
72
9.1
41
8.4
71
9.5
44
8.5
71
9.5
40
8.7
69
Management
9.3
38
8.3
70
9.2
42
8.5
69
9.2
36
8.0
69
9.2
41
8.1
69
Operations
9.3
40
8.2
69
9.3
41
8.4
70
9.4
38
8.3
70
Management
8.9
36
8.1
68
9.2
41
8.4
69
9.0
35
8.3
68
Generative AI
9.3
27
8.2
34
9.3
26
8.4
34
System
9.0
185
8.2
170
Model Development
9.0
206
8.4
203
Feature Not Available
7.9
180
8.9
192
8.4
200
9.2
202
8.5
202
Model Development
9.2
192
8.2
165
Machine/Deep Learning Services
9.0
186
8.2
200
9.2
176
8.4
196
9.0
173
8.2
195
9.1
191
8.2
178
Machine/Deep Learning Services
9.1
165
8.5
165
9.3
190
8.4
163
Deployment
9.1
189
8.2
193
9.1
195
8.3
194
9.2
185
8.5
193
Generative AI
8.8
121
8.3
102
8.5
121
8.2
102
8.4
119
8.1
103
Agentic AI - Data Science and Machine Learning Platforms
7.1
8
8.1
34
6.5
8
7.8
34
7.7
8
7.7
34
8.5
8
7.8
34
7.5
8
8.4
34
7.3
8
7.8
34
6.9
8
7.9
34
Scalability and Performance - Generative AI Infrastructure
8.5
16
8.9
28
8.8
16
8.6
28
9.2
16
8.5
28
Cost and Efficiency - Generative AI Infrastructure
8.4
15
8.2
28
8.9
14
7.8
28
9.3
14
7.9
28
Integration and Extensibility - Generative AI Infrastructure
8.8
14
8.4
28
8.7
14
8.1
28
8.7
14
8.3
28
Security and Compliance - Generative AI Infrastructure
8.8
14
8.6
28
8.6
14
8.5
28
8.3
14
8.9
28
Usability and Support - Generative AI Infrastructure
8.9
14
8.2
28
8.5
14
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
8.9
23
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
8.8
22
Not enough data
8.9
22
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
8.8
22
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
9.2
22
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
9.0
22
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
22
Not enough data
8.7
21
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
9.0
21
Not enough data
8.8
21
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
8.7
21
Not enough data
9.0
21
Security - Large Language Model Operationalization (LLMOps)
Not enough data
9.1
22
Not enough data
8.9
22
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
8.9
22
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
Saturn Cloud and Vertex AI are categorized as Generative AI Infrastructure, MLOps Platforms, and Data Science and Machine Learning Platforms
Unique Categories
Saturn Cloud has no unique categories
Vertex AI is categorized as Large Language Model Operationalization (LLMOps), Machine Learning, AI Agent Builders, and Low-Code Machine Learning Platforms
Reviews
Reviewers' Company Size
Saturn Cloud
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
21.0%
Higher Education
11.0%
Information Technology and Services
10.0%
Biotechnology
9.1%
Research
7.8%
Other
41.1%
Computer Software
17.5%
Information Technology and Services
13.9%
Financial Services
7.0%
Retail
3.8%
Hospital & Health Care
3.4%
Other
54.5%
Alternatives
Discussions
Saturn Cloud has no 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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