Introducing G2.ai, the future of software buying.Try now
Compare H2O and IBM watsonx.ai 
Featured Products
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Burai
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Lyzr.ai
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Postman
Visit Website
At a Glance
Market Segments
Small-Business (54.5% of reviews)
Small-Business (40.2% 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 H2OIBM watsonx.ai
Star Rating
(123)4.4 out of 5
Market Segments
Small-Business (40.2% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about IBM watsonx.aiSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that H2O excels in data ingestion and wrangling with a score of 8.5, while IBM watsonx.ai received a slightly lower score of 8.2. Reviewers mention that H2O's intuitive interface makes it easier to manage and prepare data for analysis.
- Reviewers say that H2O's drag and drop functionality is highly praised, scoring 8.8, compared to IBM watsonx.ai's score of 8.0. Users appreciate how this feature simplifies the model-building process, making it accessible for users with varying technical expertise.
- G2 users highlight that H2O's pre-built algorithms score an impressive 9.4, which is notably higher than IBM watsonx.ai's 8.7. Reviewers mention that this extensive library allows for quicker deployment of machine learning models, enhancing productivity.
- Users on G2 report that H2O's model training capabilities are robust, with a score of 9.2, while IBM watsonx.ai trails with a score of 8.2. Reviewers mention that H2O's efficient training processes lead to faster results, which is crucial for time-sensitive projects.
- Reviewers mention that IBM watsonx.ai shines in scalability, achieving a score of 9.5 compared to H2O's 9.0. Users report that this makes IBM watsonx.ai a better choice for enterprises looking to scale their AI solutions seamlessly.
- Users say that both products offer strong quality of support, with both scoring 8.8. However, reviewers mention that H2O's community support is particularly noted for being responsive and helpful, which can be a deciding factor for users needing assistance.
Pricing
Entry-Level Pricing
H2O
No pricing availableIBM watsonx.ai
No pricing availableFree Trial
H2O
Free Trial is available
IBM watsonx.ai
Free Trial is available
Ratings
Meets Requirements
8.0
15
8.8
78
Ease of Use
9.0
14
8.8
110
Ease of Setup
7.8
6
8.5
101
Ease of Admin
8.3
6
8.7
36
Quality of Support
8.8
13
8.8
77
Has the product been a good partner in doing business?
8.3
5
8.9
36
Product Direction (% positive)
6.4
13
9.9
80
Features by Category
Deployment
Not enough data
9.1
9
Not enough data
8.5
9
Not enough data
7.8
9
Not enough data
8.7
9
Not enough data
8.7
9
Deployment
Not enough data
9.3
9
Not enough data
8.7
9
Not enough data
8.3
9
Not enough data
8.9
9
Not enough data
9.1
9
Management
Not enough data
8.0
9
Not enough data
8.5
9
Not enough data
8.5
9
Not enough data
9.3
9
Operations
Not enough data
9.1
9
Not enough data
8.7
9
Not enough data
9.3
9
Management
Not enough data
8.5
9
Not enough data
9.0
8
Not enough data
8.5
8
Generative AI
Not enough data
9.1
9
Not enough data
9.3
9
System
8.5
8
8.2
31
Model Development
8.3
8
8.6
32
8.3
8
8.2
32
9.4
8
8.7
31
9.2
8
8.4
32
Model Development
9.0
8
8.5
32
Machine/Deep Learning Services
Not enough data
Feature Not Available
Not enough data
8.9
32
Not enough data
8.6
32
9.0
5
8.1
32
Machine/Deep Learning Services
Not enough data
8.5
32
9.0
5
8.8
32
Deployment
8.1
6
8.2
32
8.0
5
8.6
32
8.6
6
8.8
32
Generative AI
Not enough data
8.8
31
Not enough data
8.8
31
Not enough data
Feature Not Available
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
Data Type
Not enough data
8.8
13
Not enough data
Feature Not Available
Not enough data
8.5
12
Synthesis Type
Not enough data
9.0
12
Not enough data
9.2
12
Data Transformation
Not enough data
8.6
12
Not enough data
9.3
12
Not enough data
9.7
12
Not enough data
9.2
12
Not enough data
9.2
12
Scalability and Performance - Generative AI Infrastructure
Not enough data
9.4
8
Not enough data
9.0
8
Not enough data
9.4
8
Cost and Efficiency - Generative AI Infrastructure
Not enough data
7.9
8
Not enough data
8.6
7
Not enough data
8.3
7
Integration and Extensibility - Generative AI Infrastructure
Not enough data
9.5
7
Not enough data
8.6
7
Not enough data
8.8
7
Security and Compliance - Generative AI Infrastructure
Not enough data
8.3
7
Not enough data
8.8
7
Not enough data
8.6
7
Usability and Support - Generative AI Infrastructure
Not enough data
9.3
7
Not enough data
9.0
7
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
Content Generation - AI Content Creation Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management - AI Content Creation Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration - Machine Learning
Not enough data
9.0
21
Learning - Machine Learning
Not enough data
9.2
22
Not enough data
9.1
22
Not enough data
9.0
21
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
9.2
6
Not enough data
8.1
6
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
8.9
6
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
8.9
6
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
8.3
7
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
8.3
6
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
8.1
7
Not enough data
8.8
7
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
9.4
6
Not enough data
8.6
6
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
8.6
6
Not enough data
8.9
6
Security - Large Language Model Operationalization (LLMOps)
Not enough data
9.4
6
Not enough data
9.2
6
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
8.9
6
Customization - AI Agent Builders
Not enough data
9.0
8
Not enough data
9.2
8
Not enough data
9.0
7
Functionality - AI Agent Builders
Not enough data
8.6
7
Not enough data
9.2
8
Not enough data
9.3
7
Not enough data
8.8
7
Data and Analytics - AI Agent Builders
Not enough data
9.0
7
Not enough data
8.8
7
Not enough data
9.0
7
Integration - AI Agent Builders
Not enough data
9.2
8
Not enough data
9.0
7
Not enough data
9.0
7
Not enough data
8.6
7
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
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 IBM watsonx.ai are categorized as Data Science and Machine Learning Platforms and Generative AI Infrastructure
Unique Categories
H2O is categorized as Artificial Neural Network and Predictive Analytics
IBM watsonx.ai is categorized as Synthetic Data, MLOps Platforms, Machine Learning, AI Content Creation Platforms, Large Language Model Operationalization (LLMOps), AI Agent Builders, 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.)
IBM watsonx.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
Financial Services
13.6%
Retail
9.1%
Research
9.1%
Marketing and Advertising
9.1%
Information Technology and Services
9.1%
Other
50.0%
Information Technology and Services
18.8%
Computer Software
11.6%
Consulting
7.1%
Financial Services
6.3%
Banking
6.3%
Other
50.0%
Alternatives
Discussions
H2O has no discussions with answers
IBM watsonx.ai has no discussions with answers
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
