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
Need Assistance?
We're here to help you with understanding our reports and the data inside to help you make decisions.
Get AssistanceH2O AI Cloud Ratings
Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard
to access more information on H2O AI Cloud.
Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
80 Likeliness to Recommend
1
Since last award
96 Plan to Renew
1
Since last award
86 Satisfaction of Cost Relative to Value
2
Since last award
Emotional Footprint Overview
Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
+88 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
How to read the Emotional Footprint
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
Negative
Neutral
Positive
Feature Ratings
Data Ingestion
Pre-Packaged AI/ML Services
Data Exploration and Visualization
Feature Engineering
Algorithm Recommendation
Performance and Scalability
Algorithm Diversity
Openness and Flexibility
Model Tuning
Model Monitoring and Management
Ensembling
Vendor Capability Ratings
Breadth of Features
Product Strategy and Rate of Improvement
Ease of Customization
Ease of Implementation
Business Value Created
Quality of Features
Ease of Data Integration
Usability and Intuitiveness
Ease of IT Administration
Vendor Support
Availability and Quality of Training
H2O AI Cloud Reviews
Akshika V.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted Dec 2022
Excellent Automl Software
Likeliness to Recommend
What differentiates H2O AI Cloud from other similar products?
Creating forecasting models and determining the optimal techniques for my datasets. Excellent commercial product support for Driverless AI, with rapid iteration. In general, performance is superior to what can be done in code.
What is your favorite aspect of this product?
The flow web front end is really simple to use. It can be used to generate machine learning models quickly. Attempting to forecast prices with regression models. New models can be tested quickly.
What do you dislike most about this product?
Nothing, perhaps the integration with Spark could be enhanced in minor details.
What recommendations would you give to someone considering this product?
It's an incredible set of tools for facilitating the usage of machine learning and providing many breakthroughs in writing and discovering models.
Pros
- Continually Improving Product
- Reliable
- Trustworthy
- Efficient Service
priyank s.
- Role: Consultant
- Industry: Technology
- Involvement: End User of Application
Submitted Nov 2022
Outstanding framework and application
Likeliness to Recommend
What differentiates H2O AI Cloud from other similar products?
I like how it includes a graphical user interface for estimating how long the model will run, as well as a water meter that shows how the resources are used during the modeling process.
What is your favorite aspect of this product?
H2O provides a well-validated, fully automated, rigorous machine-learning pipeline that includes state-of-the-art model interpretation for prediction and inference.
What do you dislike most about this product?
H20 does a decent job of abstracting the underlying transformation and tuning stages, which may be tough. Better instructions and better tutorials would be beneficial.
What recommendations would you give to someone considering this product?
This is a cross-platform, integrated ML framework that is always evolving with issues relevant to data scientists. The best feature of H2O.ai is its simplicity and smooth user interface.
Pros
- Continually Improving Product
- Reliable
- Trustworthy
- Unique Features
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
