Compare H2O and SAS Viya 
At a Glance
Market Segments
Small-Business (54.5% of reviews)
Enterprise (34.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
H2O
Star Rating
(24)4.5 out of 5
Market Segments
Small-Business (54.5% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about H2OSAS Viya
Star Rating
(734)4.3 out of 5
Market Segments
Enterprise (34.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about SAS ViyaSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that H2O excels in user-friendliness, particularly with its web front end known as Flow, which allows users to quickly create machine learning models. This ease of use is a significant advantage for those new to data science.
- Users say that SAS Viya stands out for its cloud-based architecture, which enhances accessibility and collaboration across projects. Reviewers appreciate how this modern environment combines the reliability of traditional SAS with a flexible, scalable platform.
- According to verified reviews, H2O's AutoML feature is highly praised for its impressive performance and rapid iteration capabilities, making it a favorite among users looking for efficient machine learning solutions.
- Reviewers mention that SAS Viya offers robust analytical tools, such as detailed keyword and sentiment analysis, which help users uncover valuable insights. The term map feature is particularly highlighted for its ability to visualize correlations effectively.
- Users appreciate H2O's strong support for its commercial product, Driverless AI, noting that it often outperforms traditional coding methods. This level of support contributes to a positive user experience, especially for businesses seeking reliable assistance.
- G2 reviewers indicate that while H2O has a higher ease of use rating, SAS Viya's comprehensive features and cloud-native design make it a strong contender for organizations needing a more integrated analytics solution, despite its slightly lower user satisfaction scores.
Pricing
Entry-Level Pricing
H2O
No pricing availableSAS Viya
No pricing availableFree Trial
H2O
Free Trial is available
SAS Viya
Free Trial is available
Ratings
Meets Requirements
8.0
15
8.5
535
Ease of Use
9.0
14
8.1
595
Ease of Setup
7.8
6
8.0
446
Ease of Admin
8.3
6
7.6
160
Quality of Support
8.8
13
8.3
506
Has the product been a good partner in doing business?
8.3
5
8.2
163
Product Direction (% positive)
6.4
13
8.9
533
Features by Category
Reports
Not enough data
8.3
243
Not enough data
8.1
234
Not enough data
8.5
238
Not enough data
8.1
234
Not enough data
8.4
231
Data Preparation
Not enough data
8.4
209
Not enough data
8.3
208
Data Modeling and Blending
Not enough data
8.4
209
Not enough data
8.7
208
Not enough data
8.5
209
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Agentic AI - Analytics Platforms
Not enough data
7.8
92
Not enough data
7.9
90
Not enough data
8.0
90
Not enough data
8.0
89
Not enough data
7.9
89
Not enough data
7.6
89
Not enough data
8.1
89
Self Service
Not enough data
8.3
231
Not enough data
8.3
232
Not enough data
8.4
232
Not enough data
8.1
228
Not enough data
8.1
230
Not enough data
8.2
226
Deployment & Integration - Analytics Platforms
Not enough data
8.3
89
Not enough data
8.2
89
Not enough data
8.1
88
Not enough data
8.5
89
Advanced Analytics
Not enough data
8.4
230
Not enough data
8.8
231
Not enough data
8.5
236
Performance & Scalability - Analytics Platforms
Not enough data
8.7
101
Not enough data
8.3
91
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
8.4
94
Not enough data
8.4
97
Not enough data
8.5
93
Agentic AI Capabilities - Analytics Platforms
Not enough data
7.8
88
Not enough data
7.9
87
Not enough data
8.0
87
Not enough data
7.8
88
Personalized Intelligence - Analytics Platforms
Not enough data
8.1
88
Not enough data
8.0
87
Not enough data
7.9
88
Building Reports
Not enough data
8.5
200
Not enough data
8.5
198
Not enough data
7.8
194
Not enough data
8.0
197
Data Source Access
Not enough data
8.5
115
Not enough data
8.4
117
Not enough data
8.1
112
Data Interaction
Not enough data
8.5
113
Not enough data
8.1
112
Not enough data
8.5
113
Not enough data
8.7
111
Not enough data
8.7
111
Not enough data
8.7
113
Not enough data
8.3
111
Not enough data
8.5
110
Data Exporting
Not enough data
8.4
113
Not enough data
8.3
113
Not enough data
8.5
109
Generative AI
Not enough data
Feature Not Available
Data
Not enough data
8.6
12
Not enough data
8.6
12
Not enough data
8.2
13
Not enough data
8.5
12
Analytics
Not enough data
7.9
12
Administration
Not enough data
8.3
23
Not enough data
8.6
23
Not enough data
8.3
23
Not enough data
8.6
24
Management
Not enough data
8.1
24
Not enough data
8.3
23
Not enough data
8.6
23
Not enough data
8.8
21
Not enough data
7.8
23
Compliance
Not enough data
8.3
22
Not enough data
Feature Not Available
Not enough data
8.3
23
Not enough data
8.5
23
Security
Not enough data
8.6
23
Not enough data
8.3
21
Not enough data
Feature Not Available
Data Quality
Not enough data
8.5
24
Not enough data
8.5
23
Not enough data
8.3
23
Maintainence
Not enough data
8.3
22
Not enough data
Feature Not Available
Generative AI
Not enough data
7.8
23
Not enough data
8.0
23
Agentic AI - Data Governance
Not enough data
8.7
5
Not enough data
9.3
5
Not enough data
9.3
5
Not enough data
9.3
5
Not enough data
8.7
5
Not enough data
9.3
5
Administration
Not enough data
8.9
135
Not enough data
8.9
139
Not enough data
8.8
136
Capabilities
Not enough data
9.2
141
Not enough data
8.9
138
Not enough data
8.7
136
Not enough data
8.6
133
Methodology
Not enough data
8.9
137
Not enough data
9.2
139
Not enough data
9.1
137
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Deployment
Not enough data
8.1
13
Not enough data
8.1
14
Not enough data
8.2
13
Not enough data
8.5
14
Not enough data
8.3
14
Deployment
Not enough data
8.2
14
Not enough data
8.3
13
Not enough data
8.3
13
Not enough data
8.2
14
Not enough data
8.7
13
Management
Not enough data
7.6
13
Not enough data
8.5
13
Not enough data
8.5
13
Not enough data
8.5
14
Operations
Not enough data
8.8
14
Not enough data
7.9
14
Not enough data
8.8
14
Management
Not enough data
7.9
13
Not enough data
8.2
14
Not enough data
8.1
13
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
System
8.5
8
8.4
73
Model Development
8.3
8
8.1
87
8.3
8
8.5
81
9.4
8
8.3
81
9.2
8
8.7
81
Model Development
9.0
8
8.3
70
Machine/Deep Learning Services
Not enough data
7.4
75
Not enough data
7.5
77
Not enough data
7.3
75
9.0
5
8.0
77
Machine/Deep Learning Services
Not enough data
7.6
69
9.0
5
7.9
71
Deployment
8.1
6
8.2
79
8.0
5
8.0
76
8.6
6
8.1
81
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
7.6
26
Not enough data
7.2
26
Not enough data
7.4
26
Not enough data
7.1
26
Not enough data
7.0
26
Not enough data
7.0
26
Not enough data
7.4
26
Financial Planning
Not enough data
7.8
10
Not enough data
8.2
10
Not enough data
8.5
10
Agentic AI - FP&A (Financial Planning & Analysis)
Not enough data
Not enough data
Not enough data
Not enough data
Financial Insight
Not enough data
8.0
10
Not enough data
8.8
10
Not enough data
7.9
11
Data
Not enough data
8.6
11
Not enough data
8.5
10
Not enough data
8.2
10
Not enough data
8.5
10
Status Communication
Not enough data
7.8
10
Not enough data
8.3
11
Not enough data
8.2
11
Not enough data
8.5
11
Management
Not enough data
8.8
27
Not enough data
9.0
28
Not enough data
9.3
28
Not enough data
8.9
27
Not enough data
8.8
27
Maintenance
Not enough data
8.7
26
Not enough data
8.8
26
Not enough data
9.0
26
Security
Not enough data
8.9
28
Not enough data
8.6
27
Integration
Not enough data
8.0
20
Not enough data
8.2
19
Business Logic
Not enough data
7.5
19
Not enough data
7.3
19
Not enough data
8.2
19
Management
Not enough data
7.7
18
Not enough data
7.5
19
Analytics
Not enough data
8.4
20
Not enough data
7.6
19
Deployment
Not enough data
8.2
19
Not enough data
7.6
17
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Agentic AI - Decision Management Platforms
Not enough data
7.5
6
Not enough data
6.7
6
Not enough data
6.4
6
Not enough data
6.7
6
Not enough data
6.1
6
Not enough data
6.7
6
Not enough data
7.5
6
Setup
Not enough data
7.7
19
Not enough data
7.5
19
Not enough data
8.0
19
Data
Not enough data
8.3
20
Not enough data
8.6
19
Analysis
Not enough data
8.4
19
Not enough data
7.9
19
Not enough data
7.9
18
Not enough data
8.0
19
Not enough data
7.9
18
Not enough data
7.4
18
Not enough data
7.8
18
Customization
Not enough data
7.6
18
Not enough data
7.5
19
Not enough data
8.1
19
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Core Functionality - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Handling - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Performance - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Usability - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Features - Artificial Neural Network
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
Agentic AI - Artificial Neural Network
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
Integration - Machine Learning
Not enough data
8.2
34
Learning - Machine Learning
Not enough data
8.4
36
Not enough data
8.4
36
Not enough data
8.5
35
Agentic AI - Accounting & Finance
Not enough data
Not enough data
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
8.7
15
Not enough data
8.7
15
Not enough data
9.0
15
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
9.0
15
Not enough data
8.8
15
Not enough data
8.7
15
Statistical Tool
8.1
6
8.6
73
Not enough data
8.6
74
8.3
5
8.6
74
Data Analysis
8.7
5
8.9
74
8.0
5
8.8
74
Decision Making
9.0
5
8.7
77
Not enough data
9.0
78
8.3
5
8.9
76
7.0
5
8.6
75
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Functionality
Not enough data
8.7
67
Not enough data
8.7
66
Not enough data
9.0
64
Not enough data
8.8
64
Not enough data
8.8
63
Management
Not enough data
9.2
66
Not enough data
9.0
62
Not enough data
8.9
64
Not enough data
8.9
62
Not enough data
Feature Not Available
Generative AI
Not enough data
8.3
60
Not enough data
8.2
61
Building Reports
Not enough data
8.5
200
Not enough data
8.5
198
Not enough data
7.8
194
Not enough data
8.0
197
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
H2O and SAS Viya are categorized as Data Science and Machine Learning Platforms and Predictive Analytics
Unique Categories
H2O is categorized as Artificial Neural Network and Generative AI Infrastructure
SAS Viya is categorized as MLOps Platforms, Statistical Analysis, Data Governance, Event Stream Processing, Data Preparation, Text Analysis, Machine Learning, Analytics Platforms, Database Management Systems (DBMS), FP&A (Financial Planning & Analysis), Data Quality, Decision Management Platforms, and Low-Code Machine Learning Platforms
Reviews
Reviewers' Company Size
H2O
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
SAS Viya
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
Financial Services
13.6%
Retail
9.1%
Research
9.1%
Marketing and Advertising
9.1%
Information Technology and Services
9.1%
Other
50.0%
Pharmaceuticals
12.4%
Computer Software
8.4%
Banking
8.1%
Higher Education
8.0%
Financial Services
6.3%
Other
56.7%
Discussions
H2O has no discussions with answers
SAS Viya has no discussions with answers
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