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Compare DataRobot and H2O 
At a Glance
Market Segments
Small-Business (54.2% of reviews)
Small-Business (54.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
DataRobot
Star Rating
(26)4.4 out of 5
Market Segments
Small-Business (54.2% of reviews)
Entry-Level Pricing
No pricing available
Learn more about DataRobotH2O
Star Rating
(24)4.5 out of 5
Market Segments
Small-Business (54.5% of reviews)
Entry-Level Pricing
No pricing available
Learn more about H2OSummary
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 more user-friendly for beginners compared to DataRobot's score of 8.5. Reviewers mention that the intuitive interface and drag-and-drop functionality significantly enhance the user experience.
- Reviewers mention that H2O's Pre-Built Algorithms score of 9.4 is a standout feature, providing a wide range of options for model development. In contrast, DataRobot, while also strong, has a slightly lower score of 9.0, indicating that H2O may offer more robust pre-built solutions.
- G2 users highlight H2O's superior Quality of Support with a score of 8.8, which is notably higher than DataRobot's 7.9. Users report that H2O's support team is responsive and knowledgeable, making it easier to resolve issues quickly.
- Users on G2 indicate that H2O's Data Ingestion & Wrangling capabilities, scoring 8.5, are highly effective, allowing for seamless data preparation. DataRobot, while competent, does not match this level of efficiency, which can impact the overall workflow.
- Reviewers mention that H2O's Model Training score of 9.2 reflects its strong performance in building and refining models, whereas DataRobot's score of 9.0, while still impressive, suggests that H2O may provide a slight edge in this critical area.
- Users report that H2O's Deployment options, particularly its managed service score of 8.1, are more favorable compared to DataRobot's 6.9. This difference indicates that H2O may offer a more streamlined and efficient deployment process for users looking to implement their models.
Featured Products
Sponsored
Guidewheel
(9)
Predictive Analytics
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Pricing
Entry-Level Pricing
DataRobot
No pricing availableH2O
No pricing availableFree Trial
DataRobot
No trial information availableH2O
Free Trial is available
Ratings
Meets Requirements
8.8
23
8.0
15
Ease of Use
8.5
23
9.0
14
Ease of Setup
7.0
11
7.8
6
Ease of Admin
7.4
11
8.3
6
Quality of Support
7.9
22
8.8
13
Has the product been a good partner in doing business?
8.3
11
8.3
5
Product Direction (% positive)
8.4
22
6.4
13
Features by Category
System
Not enough data
8.5
8
Not enough data
9.0
8
Not enough data
8.8
7
Model Development
Not enough data
8.3
8
Not enough data
8.3
8
Not enough data
9.4
8
Not enough data
9.2
8
Model Development
Not enough data
9.0
8
Not enough data
9.0
8
Not enough data
9.0
8
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
9.0
5
Machine/Deep Learning Services
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
9.0
5
Deployment
Not enough data
8.1
6
Not enough data
8.0
5
Not enough data
8.6
6
Deployment
Not enough data
6.9
6
Not enough data
7.0
5
Not enough data
8.6
6
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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
Not enough data
8.1
6
Not enough data
Not enough data
Not enough data
8.3
5
Data Analysis
Not enough data
8.7
5
Not enough data
8.0
5
Decision Making
Not enough data
9.0
5
Not enough data
Not enough data
Not enough data
8.3
5
Not enough data
7.0
5
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
DataRobot and H2O are categorized as Data Science and Machine Learning Platforms and Predictive Analytics
Unique Categories
DataRobot has no unique categories
H2O is categorized as Artificial Neural Network and Generative AI Infrastructure
Reviews
Reviewers' Company Size
DataRobot
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
H2O
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
20.8%
Information Technology and Services
12.5%
Telecommunications
8.3%
Manufacturing
4.2%
Retail
4.2%
Other
50.0%
Financial Services
13.6%
Retail
9.1%
Research
9.1%
Marketing and Advertising
9.1%
Information Technology and Services
9.1%
Other
50.0%
Most Helpful Reviews
DataRobot
Most Helpful Favorable Review
Luiz A.
Verified User in Computer Software
I manage a fast pace growing start-up focused on delivering AI services for the retail sector. Our specifications require us to develop, publish and manage many ML models, such as forecast engines, basket analysis algorithms, recommendation systems and so...
Most Helpful Critical Review
Verified User in Education Management
Do not dislike anything. Its a okay product.
H2O
Most Helpful Favorable Review
Verified User in Oil & Energy
The web front end known as flow is really easy to use. It can be use to quickly create machine learning models.
Most Helpful Critical Review
Laurry P.
Verified User in Computer Networking
Certain bugs and slowdowns that are very annoying
Luiz A.
Verified User in Computer Software
I manage a fast pace growing start-up focused on delivering AI services for the retail sector. Our specifications require us to develop, publish and manage many ML models, such as forecast engines, basket analysis algorithms, recommendation systems and so...
Verified User in Oil & Energy
The web front end known as flow is really easy to use. It can be use to quickly create machine learning models.
Verified User in Education Management
Do not dislike anything. Its a okay product.
Laurry P.
Verified User in Computer Networking
Certain bugs and slowdowns that are very annoying
Discussions
How much does using Algorithmia cost?
1 comment
CP
You can get started on Algorithmia Teams for as little as $299/month. Go to teams.algorithmia.com and sign up now!Read more
I found a bug in an algorithm or it's not producing the expected results, what can I do?
1 comment
CP
If you are an Algorithmia Enterprise user, contact your account team for an immediate response.
For Teams, while you are logged in to the platform, you...Read more
Can I use external libraries with my algorithms?
1 comment
CP
Yes, you can. Algorithmia has complete package management capabilities built in to the platform. Read more
H2O has no discussions with answers
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