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Compare SAS Visual Data Mining and Machine Learning and Vertex AI 
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At a Glance
Market Segments
Enterprise (49.3% of reviews)
Small-Business (41.0% of reviews)
Entry-Level Pricing
No pricing available
Pay As You Go Per Month
SAS Visual Data Mining and Machine Learning
Star Rating
(85)4.6 out of 5
Market Segments
Enterprise (49.3% of reviews)
Entry-Level Pricing
No pricing available
Learn more about SAS Visual Data Mining and Machine LearningVertex 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 its AI High Availability feature, scoring 9.2, which ensures consistent performance and reliability, while SAS Visual Data Mining and Machine Learning, although strong, scores slightly lower at 8.9 in this area.
- Reviewers mention that SAS Visual Data Mining and Machine Learning shines in its Model Training capabilities, achieving a score of 9.0, which is higher than Vertex AI's score of 8.5, indicating a more robust training environment for users.
- G2 users highlight that Vertex AI offers superior AI Inference Speed with a score of 8.6, making it a preferred choice for applications requiring quick response times, whereas SAS Visual Data Mining and Machine Learning does not provide a specific score for this feature.
- Users on G2 report that SAS Visual Data Mining and Machine Learning has a more user-friendly Drag and Drop interface, scoring 9.0 compared to Vertex AI's 7.9, which can significantly enhance the user experience for those less familiar with coding.
- Reviewers mention that Vertex AI's integration capabilities are rated at 8.5, allowing for seamless connections with various data sources, while SAS Visual Data Mining and Machine Learning's integration features are not as highly rated, indicating a potential limitation in flexibility.
- Users say that SAS Visual Data Mining and Machine Learning provides better support for Natural Language Processing, scoring 7.5, compared to Vertex AI's 8.6, which may influence users focused on text-based data analysis and applications.
Pricing
Entry-Level Pricing
SAS Visual Data Mining and Machine Learning
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
SAS Visual Data Mining and Machine Learning
No trial information availableVertex AI
Free Trial is available
Ratings
Meets Requirements
8.5
24
8.6
359
Ease of Use
8.4
28
8.2
368
Ease of Setup
8.5
18
8.1
291
Ease of Admin
8.9
14
7.9
142
Quality of Support
9.0
23
8.1
335
Has the product been a good partner in doing business?
8.9
15
8.2
136
Product Direction (% positive)
9.1
25
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
8.8
8
8.2
170
Model Development
8.1
7
8.5
202
9.0
7
7.9
179
8.6
7
8.4
200
9.0
7
8.5
202
Model Development
7.5
6
8.3
165
Machine/Deep Learning Services
8.7
5
8.2
200
7.5
6
8.4
196
7.0
5
8.2
195
8.6
7
8.2
178
Machine/Deep Learning Services
8.7
5
8.5
165
8.6
7
8.5
163
Deployment
8.9
6
8.2
193
8.3
6
8.3
194
8.6
7
8.5
193
Generative AI
Not enough data
8.3
102
Not enough data
8.3
102
Not enough data
8.1
103
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
8.1
34
Not enough data
7.9
34
Not enough data
7.7
34
Not enough data
7.9
34
Not enough data
8.5
34
Not enough data
7.8
34
Not enough data
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
Statistical Tool
8.1
8
Not enough data
8.3
9
Not enough data
8.1
9
Not enough data
Data Analysis
8.5
10
Not enough data
9.0
10
Not enough data
Decision Making
8.6
11
Not enough data
9.1
11
Not enough data
9.1
11
Not enough data
8.5
9
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
SAS Visual Data Mining and Machine Learning and Vertex AI are categorized as Data Science and Machine Learning Platforms
Unique Categories
SAS Visual Data Mining and Machine Learning is categorized as Predictive Analytics
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
SAS Visual Data Mining and Machine Learning
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
48.0%
Banking
6.7%
Hospital & Health Care
5.3%
Education Management
5.3%
Financial Services
4.0%
Other
30.7%
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%
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Discussions
SAS Visual Data Mining and Machine Learning has no discussions with answers
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