Compare Snowflake and Vertex AI 
Featured Products
At a Glance
Market Segments
Enterprise (44.4% of reviews)
Small-Business (42.0% of reviews)
Entry-Level Pricing
$2 Compute/Hour
Pay As You Go Per Month
Snowflake
Star Rating
(695)4.6 out of 5
Market Segments
Enterprise (44.4% of reviews)
Pros & Cons
Entry-Level Pricing
$2 Compute/Hour
Free Trial is available
Browse all 4 pricing plansVertex AI
Star Rating
(652)4.3 out of 5
Market Segments
Small-Business (42.0% of reviews)
Pros & Cons
Entry-Level Pricing
Pay As You Go Per Month
Learn more about Vertex AISummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Snowflake excels in user-friendliness, with many users appreciating its intuitive interface that resembles familiar SQL platforms. This makes it easier for teams to navigate and utilize the software effectively, especially when analyzing large datasets.
- Users say that Vertex AI shines in streamlining the machine learning lifecycle. Reviewers highlight its ability to centralize tasks such as data preparation, model training, and deployment, which significantly reduces the complexity of managing ML workflows.
- According to verified reviews, Snowflake's scalability is a standout feature, allowing users to adjust performance on demand without the hassle of complex infrastructure management. This flexibility is particularly beneficial for teams that need to handle varying workloads efficiently.
- Reviewers mention that Vertex AI's integration with Google Cloud is a major advantage, providing a seamless experience for users who are already within the Google ecosystem. This integration simplifies the management of ML projects and enhances collaboration across teams.
- G2 reviewers report that while Snowflake has a higher overall satisfaction score, Vertex AI still offers a robust platform for building and deploying machine learning models. Users appreciate the comprehensive tools available, although some find the learning curve to be steeper compared to Snowflake.
- Users say that Snowflake's quality of support is commendable, with many praising the responsiveness and helpfulness of the support team. In contrast, some Vertex AI users have expressed a desire for improved support resources, indicating that there is room for enhancement in this area.
Pricing
Entry-Level Pricing
Snowflake
Standard
$2
Compute/Hour
Compute usage is billed on a per-second basis, with a minimum of 60 seconds. You can secure price discounts with pre-purchased Snowflake capacity options.
- Complete SQL Data Warehouse
- Secure Data Sharing across regions / clouds
- Premier Support 24 x 365
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
Snowflake
Free Trial is available
Vertex AI
No trial information availableRatings
Meets Requirements
9.1
528
8.6
389
Ease of Use
9.0
564
8.2
400
Ease of Setup
8.9
349
8.1
322
Ease of Admin
8.7
213
7.9
149
Quality of Support
8.7
484
8.1
364
Has the product been a good partner in doing business?
9.0
215
8.3
143
Product Direction (% positive)
9.2
497
9.2
383
Features by Category
Deployment
9.2
12
8.4
76
8.9
12
8.1
78
9.0
12
8.3
76
9.3
12
8.4
76
9.3
12
8.8
75
Deployment
9.3
10
8.5
75
9.5
10
8.3
73
9.5
10
8.4
72
9.5
10
8.6
74
9.3
10
8.7
71
Management
9.2
12
8.2
71
9.0
12
8.5
73
9.2
12
8.0
71
9.0
12
8.1
70
Operations
8.8
10
8.2
70
8.8
10
8.5
71
9.5
10
8.3
71
Management
9.2
10
8.1
69
9.3
9
8.4
72
9.0
10
8.3
70
Generative AI
8.7
10
8.4
37
8.3
10
8.6
37
System
9.2
28
8.2
173
Model Development
9.1
30
8.5
208
8.5
28
7.9
181
8.2
28
8.4
206
8.7
29
8.5
209
Model Development
8.7
27
8.2
167
Machine/Deep Learning Services
8.5
28
8.3
203
8.5
28
8.5
202
8.3
28
8.2
200
8.3
27
8.3
181
Machine/Deep Learning Services
8.5
27
8.5
167
8.5
24
8.5
166
Deployment
9.1
30
8.3
213
9.0
27
8.3
203
9.2
29
8.6
207
Generative AI
8.5
26
8.3
110
8.3
25
8.3
106
8.5
25
8.1
105
Agentic AI - Data Science and Machine Learning Platforms
8.2
13
8.1
38
8.2
13
7.8
37
8.3
13
7.7
38
8.5
13
7.9
35
8.2
13
8.5
37
8.3
14
7.5
36
8.2
13
7.7
36
Data Management
9.0
192
|
Verified
Not enough data
8.9
173
|
Verified
Not enough data
9.0
180
|
Verified
Not enough data
8.3
177
|
Verified
Not enough data
8.2
155
|
Verified
Not enough data
8.7
158
|
Verified
Not enough data
Integration
8.3
148
|
Verified
Not enough data
8.9
181
|
Verified
Not enough data
8.9
163
|
Verified
Not enough data
Deployment
7.7
142
|
Verified
Not enough data
9.3
188
|
Verified
Not enough data
Performance
9.3
192
|
Verified
Not enough data
Security
8.9
176
|
Verified
Not enough data
9.1
184
|
Verified
Not enough data
Generative AI
7.9
81
Not enough data
8.1
81
Not enough data
Management
8.9
84
Not enough data
9.1
84
Not enough data
9.4
91
Not enough data
9.0
88
Not enough data
9.1
89
Not enough data
Maintenance
9.3
87
Not enough data
9.0
85
Not enough data
9.3
89
Not enough data
Security
9.2
86
Not enough data
9.3
89
Not enough data
Storage
9.2
44
Not enough data
9.2
44
Not enough data
Availability
9.1
39
Not enough data
9.2
37
Not enough data
9.2
41
Not enough data
Performance
9.2
44
Not enough data
Security
9.1
44
Not enough data
9.2
45
Not enough data
8.9
38
Not enough data
9.2
38
Not enough data
Support
9.2
36
Not enough data
9.1
35
Not enough data
Centralized computation
9.3
25
Not enough data
Localized computation
9.0
24
Not enough data
Scalability and Performance - Generative AI Infrastructure
Not enough data
9.0
31
Not enough data
8.7
32
Not enough data
8.6
31
Cost and Efficiency - Generative AI Infrastructure
Not enough data
8.0
34
Not enough data
7.7
31
Not enough data
8.1
30
Integration and Extensibility - Generative AI Infrastructure
Not enough data
8.5
30
Not enough data
8.3
32
Not enough data
8.5
31
Security and Compliance - Generative AI Infrastructure
Not enough data
8.7
30
Not enough data
8.3
32
Not enough data
8.9
30
Usability and Support - Generative AI Infrastructure
Not enough data
8.2
31
Not enough data
8.5
31
Integration - Machine Learning
Not enough data
8.5
68
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
26
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
8.8
24
Not enough data
9.0
24
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
8.8
22
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
9.3
25
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
9.1
24
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
9.2
23
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
9.0
23
Not enough data
8.7
22
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
8.7
23
Not enough data
8.9
22
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
8.7
21
Not enough data
9.1
22
Security - Large Language Model Operationalization (LLMOps)
Not enough data
9.1
22
Not enough data
9.0
23
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
8.9
22
Customization - AI Agent Builders
Not enough data
8.6
28
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
7.8
26
Not enough data
7.9
27
Not enough data
8.1
28
Integration - AI Agent Builders
Not enough data
8.8
28
Not enough data
8.2
30
Not enough data
8.1
28
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
Database
8.9
98
Not enough data
9.3
101
Not enough data
9.3
95
Not enough data
Integrations
8.6
76
Not enough data
8.7
81
Not enough data
Platform
9.1
92
Not enough data
9.0
97
Not enough data
8.7
81
Not enough data
Processing
9.3
97
Not enough data
9.1
95
Not enough data
Data Transformation
9.2
87
Not enough data
9.4
88
Not enough data
Connectivity
8.5
78
Not enough data
8.7
79
Not enough data
9.1
81
Not enough data
9.1
81
Not enough data
Operations
8.6
84
Not enough data
9.2
79
Not enough data
8.9
76
Not enough data
8.8
80
Not enough data
8.7
78
Not enough data
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
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
Categories
Categories
Shared Categories
Snowflake and Vertex AI are categorized as MLOps Platforms and Data Science and Machine Learning Platforms
Unique Categories
Snowflake is categorized as Data Clean Room, Columnar Databases, Big Data Integration Platforms, Big Data Processing and Distribution, Big Data Analytics, Database Management Systems (DBMS), and Data Warehouse
Vertex AI is categorized as Large Language Model Operationalization (LLMOps), Generative AI Infrastructure, Machine Learning, AI Agent Builders, and Low-Code Machine Learning Platforms
Reviews
Reviewers' Company Size
Snowflake
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
Information Technology and Services
15.0%
Computer Software
13.4%
Financial Services
10.2%
Marketing and Advertising
4.7%
Hospital & Health Care
3.6%
Other
53.1%
Computer Software
17.9%
Information Technology and Services
14.3%
Financial Services
6.8%
Retail
3.6%
Hospital & Health Care
3.3%
Other
54.1%
Alternatives
Discussions
What's the best way to manage change data capture in Snowflake?
4 Comments
VT
Please go through this link: https://docs.snowflake.com/en/user-guide/streams
You might get a pertinent response from it.
Please click on this link...Read more
which is best snowflake or My sql
2 Comments
LH
Depends on your needs. MySQL is open source/free. It or Postgres (another open source db) is good for pretty much any normal need. You can install on...Read more
Snowflake - how to connect to Snowflake using NodeJS
2 Comments
DW
Does this help? https://www.ameexusa.com/blogs/connecting-node-js-snowflakeRead more
What is Google Cloud AI Platform used for?
3 Comments
AO
Vertex AI is Google Cloud’s managed machine learning platform. It’s used to build, train, and deploy ML models at scale. It unifies data, AutoML, and custom...Read more
What software libraries does cloud ML engine support?
3 Comments
AO
Cloud ML Engine (now part of Vertex AI) supports popular ML frameworks and libraries such as TensorFlow, PyTorch, Scikit‑learn, and XGBoost. This flexibility...Read more
What is Google AI platform?
2 Comments
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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