What is H2O AI Cloud?
H2O is a fully open source, distributed in-memory machine learning platform with linear scalability. H2O supports the most widely used statistical & machine learning algorithms including gradient boosted machines, generalized linear models, deep learning and more. H2O also has an industry leading AutoML functionality that automatically runs through all the algorithms and their hyperparameters to produce a leaderboard of the best models.
Company Details
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Real user data aggregated to summarize the product performance and customer experience.
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81 Likeliness to Recommend
1
Since last award
94 Plan to Renew
1
Since last award
87 Satisfaction of Cost Relative to Value
1
Since last award
Emotional Footprint Overview
+85 Net Emotional Footprint
The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.
How much do users love H2O AI Cloud?
Pros
- Helps Innovate
- Continually Improving Product
- Inspires Innovation
- Efficient Service
Emotional Footprint
How to Read
Positive
Neutral
Negative
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Feature Ratings
Pre-Packaged AI/ML Services
Data Ingestion
Algorithm Diversity
Algorithm Recommendation
Performance and Scalability
Model Tuning
Data Exploration and Visualization
Feature Engineering
Openness and Flexibility
Data Pre-Processing
Model Monitoring and Management
Vendor Capability Ratings
Breadth of Features
Product Strategy and Rate of Improvement
Ease of Implementation
Ease of Customization
Ease of IT Administration
Quality of Features
Business Value Created
Ease of Data Integration
Usability and Intuitiveness
Availability and Quality of Training
Vendor Support
H2O AI Cloud Reviews
Praveen P.
- Role: Sales Marketing
- Industry: Technology
- Involvement: End User of Application
Submitted Nov 2022
H2O.ai is a fantastic tool for ML
Likeliness to Recommend
What differentiates H2O AI Cloud from other similar products?
We are developing Predictive Maintenance and Analytics, which might be utilized in Manufacturing and factories. Streamlining our machine learning model generation and deployment process. Advertising technology modeling Can build complex models from data sets with billions of rows. Significantly faster turnaround time
What is your favorite aspect of this product?
Excellent integration of development and production. A powerful and simple visual interface to a complex backend. Rapid product iteration and continuous improvement
What do you dislike most about this product?
In comparison to python pandas or pyspark dataframes, H2O Frames have very limited data processing options. I believe that having more data maneuverability would be extremely beneficial.
What recommendations would you give to someone considering this product?
Gartner Magic Quadrant brought me to h2o.ai. It's an excellent ML platform with a large built-in library. To score our client database, we tested churn prediction systems.
Pros
- Helps Innovate
- Enables Productivity
- Trustworthy
- Efficient Service
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted Nov 2022
A really positive Machine Learning experience
Likeliness to Recommend
Pros
- Continually Improving Product
- Performance Enhancing
- Enables Productivity
- Trustworthy
Vivek S.
- Role: Information Technology
- Industry: Retail
- Involvement: IT Development, Integration, and Administration
Submitted Apr 2022
H2O.ai for End-to-end Data Science Implementation
Likeliness to Recommend
What differentiates H2O AI Cloud from other similar products?
With several other products available which provide similar services, H2O.ai is completely open source and provides better predictive analysis options. It supports AutoML whicch transforms the creation and implementation of AI.
What is your favorite aspect of this product?
It has a very user-friendly interface and contains several predefined ML algorithms which make modelling and feature tuning very efficient. It is one of the goto platforms specially for non-coders who like to implement data science solutions.
What do you dislike most about this product?
The product does not lrovide a free trial version and customer support is very limited to licensed users. Global services or blogs to provide solutions to common issues will be welcomed.
What recommendations would you give to someone considering this product?
This is the goto platform for all data science needs and implement end-to-end deployment of services. The tools makes it easier to manage business processes with its friendly UI.
Pros
- Trustworthy
- Efficient Service
- Effective Service
- Respectful
