Compare H2O and SAS Enterprise Miner 
At a Glance
Market Segments
Small-Business (54.5% of reviews)
Enterprise (57.6% 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 Enterprise Miner
Star Rating
(192)4.2 out of 5
Market Segments
Enterprise (57.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about SAS Enterprise MinerH2O vs SAS Enterprise Miner
When assessing the two solutions, reviewers found H2O easier to use, set up, and administer. However, reviewers felt that both vendors make it equally easy to do business overall.
- Reviewers felt that SAS Enterprise Miner meets the needs of their business better than H2O.
- When comparing quality of ongoing product support, reviewers felt that H2O is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of SAS Enterprise Miner over H2O.
Pricing
Entry-Level Pricing
H2O
No pricing availableSAS Enterprise Miner
No pricing availableFree Trial
H2O
Free Trial is available
SAS Enterprise Miner
No trial information availableRatings
Meets Requirements
8.0
15
8.7
168
Ease of Use
9.0
14
7.7
168
Ease of Setup
7.8
6
7.7
48
Ease of Admin
8.3
6
7.7
47
Quality of Support
8.8
13
8.2
151
Has the product been a good partner in doing business?
8.3
5
8.3
47
Product Direction (% positive)
6.4
13
7.4
159
Features by Category
Administration
Not enough data
7.8
6
Not enough data
7.2
6
Not enough data
6.4
6
Capabilities
Not enough data
7.2
6
Not enough data
8.1
6
Not enough data
7.8
6
Not enough data
7.5
6
Methodology
Not enough data
8.9
6
Not enough data
8.9
6
Not enough data
8.3
6
Generative AI
Not enough data
6.7
6
Not enough data
6.7
6
System
8.5
8
8.1
8
Model Development
8.3
8
7.1
8
8.3
8
7.7
8
9.4
8
8.8
8
9.2
8
8.5
8
Model Development
9.0
8
8.1
8
Machine/Deep Learning Services
Not enough data
8.3
7
Not enough data
8.1
7
Not enough data
8.3
7
9.0
5
8.3
8
Machine/Deep Learning Services
Not enough data
8.1
7
9.0
5
7.6
7
Deployment
8.1
6
8.6
7
8.0
5
8.8
7
8.6
6
9.0
7
Generative AI
Not enough data
8.6
7
Not enough data
8.6
7
Not enough data
8.8
7
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
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
Statistical Tool
8.1
6
8.1
86
Not enough data
8.3
93
8.3
5
8.0
89
Data Analysis
8.7
5
9.1
103
8.0
5
8.4
103
Decision Making
9.0
5
8.6
97
Not enough data
7.2
103
8.3
5
8.0
100
7.0
5
7.8
17
Generative AI
Not enough data
7.4
7
Not enough data
7.4
7
Categories
Categories
Shared Categories
H2O and SAS Enterprise Miner 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 Enterprise Miner is categorized as Statistical Analysis
Reviews
Reviewers' Company Size
H2O
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
SAS Enterprise Miner
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%
Higher Education
17.4%
Information Technology and Services
11.4%
Hospital & Health Care
10.9%
Research
7.6%
Government Administration
6.0%
Other
46.7%
Alternatives
Discussions
H2O has no discussions with answers
What is advanced analytics platform?
1 Comment
GS
Advanced Analytics is the autonomous or semi-autonomous examination of data or content using sophisticated techniques and tools, typically beyond those of...Read more
SAS Enterprise Miner has no more discussions with answers
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