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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81 Likeliness to Recommend
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Since last award
94 Plan to Renew
1
Since last award
87 Satisfaction of Cost Relative to Value
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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
Ease of Data Integration
Product Strategy and Rate of Improvement
Quality of Features
Ease of Customization
Ease of IT Administration
Breadth of Features
Vendor Support
Business Value Created
Availability and Quality of Training
Ease of Implementation
Usability and Intuitiveness
H2O AI Cloud Reviews
Ashay S.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Jan 2023
Best Auto-ML platform
Likeliness to Recommend
What differentiates H2O AI Cloud from other similar products?
One of the great things about it apart from the model building and deployment part is it also provides some tool access for better Interpretability and Explainability of models. It is helpful in understanding how the model works and what were the important features than contributed to getting that performance.
What is your favorite aspect of this product?
It is very fast and easy to try out multiple models on a given dataset and find the best one. It helps in hyper-parameter optimization to find best performance out of a given model , this can be monitored on the dashboard as the process is going so we needn't wait for the whole process to complete to make changes or tune it. Also the performance of the available algorithms is quite good.
What do you dislike most about this product?
There are some parts which lack good documentation and for some specific cases it lacks the algorithm support or some of the data processing steps. But unless it is a very complex case , the performance is quite good for a given task
What recommendations would you give to someone considering this product?
It has a great set of ML algorithms and support for various stages of ML pipelines that can save your time and reduce chances of error. It is quite intuitive and user friendly and doesn't require someone to be an expert in ML to use.
Pros
- Helps Innovate
- Continually Improving Product
- Enables Productivity
- Efficient Service
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
