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Compare H2O and TensorFlow 
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At a Glance
Market Segments
Small-Business (54.5% of reviews)
Small-Business (50.8% 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 H2OTensorFlow
Star Rating
(135)4.5 out of 5
Market Segments
Small-Business (50.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about TensorFlowSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that H2O excels in ease of use with a score of 9.0, making it particularly appealing for small businesses looking for a user-friendly interface. In contrast, TensorFlow's ease of use score is lower at 7.6, which some users find challenging, especially those new to machine learning.
- Reviewers mention that H2O's drag-and-drop functionality scores 8.8, allowing users to build models without extensive coding knowledge. TensorFlow, however, scores only 7.8 in this area, which can be a barrier for users who prefer a more visual approach to model development.
- G2 users highlight H2O's strong performance in model training with a score of 9.2, indicating that it provides efficient and effective training capabilities. TensorFlow closely follows with a score of 9.3, but some users note that it requires more technical expertise to achieve optimal results.
- Users on G2 report that H2O's pre-built algorithms score an impressive 9.4, making it easier for users to implement machine learning solutions quickly. TensorFlow's pre-built algorithms score 8.6, which some users feel limits their ability to rapidly deploy models.
- Reviewers mention that H2O's quality of support is rated at 8.8, with many users praising the responsiveness and helpfulness of the support team. TensorFlow's support, rated at 8.4, is still good but has received mixed feedback regarding response times and the depth of assistance provided.
- Users say that H2O's product direction score of 6.4 indicates some concerns about future updates and features, while TensorFlow shines with a score of 9.0, suggesting a strong commitment to ongoing development and innovation in the platform.
Pricing
Entry-Level Pricing
H2O
No pricing availableTensorFlow
No pricing availableFree Trial
H2O
Free Trial is available
TensorFlow
No trial information availableRatings
Meets Requirements
8.0
15
9.2
118
Ease of Use
9.0
14
8.0
121
Ease of Setup
7.8
6
8.3
99
Ease of Admin
8.3
6
7.9
39
Quality of Support
8.8
13
8.7
105
Has the product been a good partner in doing business?
8.3
5
8.3
36
Product Direction (% positive)
6.4
13
9.3
115
Features by Category
System
8.5
8
8.6
70
Model Development
8.3
8
8.9
96
8.3
8
7.2
82
9.4
8
8.8
96
9.2
8
9.2
95
Model Development
9.0
8
9.0
69
Machine/Deep Learning Services
Not enough data
9.1
93
Not enough data
9.0
88
Not enough data
8.8
86
9.0
5
9.4
96
Machine/Deep Learning Services
Not enough data
8.7
64
9.0
5
9.2
68
Deployment
8.1
6
8.5
80
8.0
5
8.7
89
8.6
6
9.0
89
Generative AI
Not enough data
8.0
11
Not enough data
7.7
11
Not enough data
8.0
11
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
7.3
5
Not enough data
7.3
5
Not enough data
8.0
5
Not enough data
8.7
5
Not enough data
8.3
5
Not enough data
7.0
5
Not enough data
7.7
5
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
Not enough data
Not enough data
Not enough data
8.3
5
Not enough data
Data Analysis
8.7
5
Not enough data
8.0
5
Not enough data
Decision Making
9.0
5
Not enough data
Not enough data
Not enough data
8.3
5
Not enough data
7.0
5
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
H2O and TensorFlow are categorized as Data Science and Machine Learning Platforms
Unique Categories
H2O is categorized as Artificial Neural Network, Predictive Analytics, and Generative AI Infrastructure
TensorFlow has no unique categories
Reviews
Reviewers' Company Size
H2O
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
TensorFlow
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%
Computer Software
27.7%
Information Technology and Services
20.0%
Research
7.7%
Computer & Network Security
4.6%
Higher Education
3.1%
Other
36.9%
Alternatives
Discussions
H2O has no discussions with answers
What is TensorFlow and why it is used?
2 Comments
PS
TensorFlow is an open-source library that lets you generate various models AI/ML/DL models.Read more
TensorFlow has no more discussions with answers
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