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Compare Saturn Cloud and Vertex AI 
At a Glance
Market Segments
Small-Business (82.1% of reviews)
Small-Business (38.7% of reviews)
Entry-Level Pricing
Contact Us
Pay As You Go Per Month
Saturn Cloud
Star Rating
(308)4.8 out of 5
Market Segments
Small-Business (82.1% of reviews)
Entry-Level Pricing
Contact Us
Free Trial is available
Browse all 3 pricing plansVertex AI
Star Rating
(572)4.3 out of 5
Market Segments
Small-Business (38.7% 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 AI High Availability with a score of 9.2, while Saturn Cloud's score of 8.5 indicates it may not be as robust in this area. Reviewers mention that Vertex AI's infrastructure ensures consistent uptime, which is crucial for businesses relying on AI services.
- Reviewers mention that Saturn Cloud shines in Ease of Use with a score of 9.5 compared to Vertex AI's 8.3. Users on G2 appreciate Saturn Cloud's intuitive interface and streamlined setup process, making it more accessible for teams without extensive technical expertise.
- Users say that Saturn Cloud offers superior Scalability with a score of 9.5, while Vertex AI scores 8.9. Reviewers highlight Saturn Cloud's ability to handle large datasets and complex models efficiently, which is essential for growing businesses.
- G2 users report that Vertex AI's Model Training capabilities are strong, scoring 8.5, but Saturn Cloud outperforms with a score of 9.4. Reviewers mention that Saturn Cloud provides more pre-built algorithms and better support for custom model training, enhancing the development experience.
- Users on G2 highlight that Saturn Cloud's Quality of Support is rated at 9.4, significantly higher than Vertex AI's 8.2. Reviewers mention that Saturn Cloud's support team is responsive and knowledgeable, which is vital for troubleshooting and optimizing AI workflows.
- Reviewers mention that Vertex AI's Deployment Ease is rated at 8.4, while Saturn Cloud excels with a score of 9.6. Users report that Saturn Cloud's one-click deployment feature simplifies the process, allowing teams to focus more on development rather than setup.
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
9.4
263
8.6
346
Ease of Use
9.5
269
8.3
353
Ease of Setup
9.1
69
8.2
272
Ease of Admin
9.2
28
8.0
143
Quality of Support
9.4
240
8.2
325
Has the product been a good partner in doing business?
9.0
26
8.2
137
Product Direction (% positive)
9.4
259
9.2
338
Features by Category
Deployment
9.0
42
8.4
64
9.2
44
8.2
65
9.2
42
8.4
65
9.6
43
8.4
61
9.5
40
8.8
61
Deployment
9.4
40
8.5
65
9.1
43
8.3
64
9.1
41
8.4
63
9.5
44
8.5
63
9.5
40
8.8
61
Management
9.3
38
8.4
61
9.2
42
8.5
60
9.2
36
8.1
61
9.2
41
8.2
61
Operations
9.3
40
8.3
61
9.3
41
8.5
62
9.4
38
8.5
62
Management
8.9
36
8.3
60
9.2
41
8.5
61
9.0
35
8.4
60
Generative AI
9.3
27
8.1
26
9.3
26
8.5
26
System
9.1
176
8.3
136
9.1
177
8.2
138
Feature Not Available
7.9
133
Model Development
9.0
196
8.4
165
Feature Not Available
7.9
142
9.0
182
8.5
163
9.4
192
8.5
165
Model Development
9.0
174
8.4
131
9.4
186
8.5
133
9.3
183
8.4
131
Machine/Deep Learning Services
9.2
176
8.3
163
9.3
166
8.5
159
9.2
163
8.3
158
9.3
181
8.3
141
Machine/Deep Learning Services
9.0
164
8.4
134
9.1
156
8.5
131
9.0
153
8.3
129
9.4
181
8.4
130
Deployment
9.2
180
8.3
157
9.2
186
8.3
158
9.2
176
8.6
157
Deployment
9.2
166
8.3
129
9.2
169
8.3
130
9.3
171
8.4
131
Generative AI
8.9
112
8.2
67
8.6
112
8.5
67
8.6
110
8.2
68
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
8.6
11
9.2
18
8.8
11
8.7
18
9.2
11
8.7
18
Cost and Efficiency - Generative AI Infrastructure
8.3
11
8.1
18
9.1
11
8.1
18
9.4
11
8.4
18
Integration and Extensibility - Generative AI Infrastructure
9.1
11
8.6
18
8.9
11
8.2
18
8.8
11
8.7
18
Security and Compliance - Generative AI Infrastructure
8.9
11
8.8
18
8.8
11
8.4
18
8.2
11
9.3
18
Usability and Support - Generative AI Infrastructure
9.2
11
8.5
18
8.6
11
8.4
18
Integration - Machine Learning
Not enough data
8.6
52
Learning - Machine Learning
Not enough data
8.6
51
Not enough data
8.4
50
Not enough data
8.8
51
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
8.9
16
Not enough data
8.8
16
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
8.9
16
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
9.1
16
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
9.0
16
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
9.2
16
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
9.1
16
Not enough data
8.4
16
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
9.0
15
Not enough data
9.0
15
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
9.0
15
Not enough data
9.2
15
Security - Large Language Model Operationalization (LLMOps)
Not enough data
9.2
16
Not enough data
8.8
16
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
8.9
16
Customization - AI Agent Builders
Not enough data
8.5
17
Not enough data
7.5
17
Not enough data
8.2
16
Functionality - AI Agent Builders
Not enough data
7.9
17
Not enough data
6.8
17
Not enough data
8.3
16
Not enough data
6.8
17
Data and Analytics - AI Agent Builders
Not enough data
7.6
16
Not enough data
7.8
17
Not enough data
7.9
17
Integration - AI Agent Builders
Not enough data
8.8
17
Not enough data
7.8
17
Not enough data
8.1
17
Not enough data
7.5
17
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, and AI Agent Builders
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
20.8%
Higher Education
10.7%
Information Technology and Services
10.4%
Biotechnology
9.4%
Research
7.8%
Other
40.9%
Computer Software
16.4%
Information Technology and Services
14.3%
Financial Services
6.7%
Retail
4.0%
Consulting
3.7%
Other
54.9%
Most Helpful Reviews
Saturn Cloud
Most Helpful Favorable Review
Asia S.
Verified User in Information Technology and Services
I am using Saturn cloud in machine learning & data science assignments & projects. What I most like in Saturn cloud is that you can use Jupiter notebook or Jupiter lab, the free 30 hours each month & the ease of preparing the workspace & installing the...
Most Helpful Critical Review
Verified User in Computer Software
Pricing plan is little bit expensive. May be it due to economic level of my country
Vertex AI
Most Helpful Favorable Review
Rehan T.
Verified User in Design
Vertex AI is great because it's all-in-one. You can do everything for machine learning in one place, which makes it easy. It can handle big tasks without any problems. It also helps a lot by doing some of the hard work for you, like building models. And it...
Most Helpful Critical Review
Verified User in Oil & Energy
the lack of documentation. you have to guess the concept of operation, constantly go to the help in the command line to explore what is available..... the packaging of your code is annoyingh to do the first two times since you have to guess a lot by...
Asia S.
Verified User in Information Technology and Services
I am using Saturn cloud in machine learning & data science assignments & projects. What I most like in Saturn cloud is that you can use Jupiter notebook or Jupiter lab, the free 30 hours each month & the ease of preparing the workspace & installing the...
Rehan T.
Verified User in Design
Vertex AI is great because it's all-in-one. You can do everything for machine learning in one place, which makes it easy. It can handle big tasks without any problems. It also helps a lot by doing some of the hard work for you, like building models. And it...
Verified User in Computer Software
Pricing plan is little bit expensive. May be it due to economic level of my country
Verified User in Oil & Energy
the lack of documentation. you have to guess the concept of operation, constantly go to the help in the command line to explore what is available..... the packaging of your code is annoyingh to do the first two times since you have to guess a lot by...
Alternatives
Discussions
Saturn Cloud has no discussions with answers
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