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H2O Reviews & Product Details

H2O.ai is the leading AI Cloud company, on a mission to democratize AI and drive an open AI movement around the world. They focus on drawing insights from structured and unstructured data like video and documents with their award-winning products like Hydrogen Torch and Document AI. Customers use the H2O AI Cloud to rapidly solve complex business problems and accelerate the discovery of new ideas. H2O.ai is the trusted AI provider to more than 20,000 global organizations, millions of data scientists and over half of the Fortune 500, including AT&T, Commonwealth Bank of Australia, Citi, GlaxoSmithKline, Hitachi, Kaiser Permanente, Procter & Gamble, PayPal, PwC, Reckitt, Unilever, Goldman Sachs, NVIDIA, and Wells Fargo are not only customers and partners, but strategic investors in the company. More than 30 Kaggle Grandmasters (the community of best-in-the-world machine learning practitioners and data scientists) are makers at H2O.ai. A strong AI for Good ethos to make the world a better place and Responsible AI drive the company’s purpose. Please join our movement at www.h2o.ai. H2O.ai offers enterprise customers with multiple platforms for AI and machine learning, including the open source distributed machine learning platform H2O-3, automatic machine learning platform H2O Driverless AI, and the recently announced H2O Q, an AI platform for business users: H2O-3 is an open source, scalable and distributed in-memory AI and machine learning platform. H2O-3 also has a strong AutoML functionality and supports the most widely used statistical and machine learning algorithms including gradient boosted machines, generalized linear models, deep learning, XGBoost and more. H2O Driverless AI empowers data scientists to work on projects faster and more efficiently by using automation to accomplish tasks quickly with automatic feature engineering, model tuning, model tuning, model selection, model validation and machine learning interpretability, custom recipes, time-series and automatic deployment pipeline generation for model scoring. H2O Q is a new AI platform that provides the essential building blocks to make AI apps and will bring the power of AI to millions of business users. It delivers automatic insights and predictions for “in the moment” business questions and is ideal for data analysts, citizen data scientists and all business users.

Seller

H2O.ai

Discussions

H2O Community

Languages Supported

English

Product Description

H2O is a tool that makes it possible for anyone to easily apply machine learning and predictive analytics to solve today's most challenging business problems, it combine the power of highly advanced algorithms, the freedom of open source, and the capacity of truly scalable in-memory processing for big data on one or many nodes.

Overview by

Patrick Moran

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Marc S.

CEO

Small-Business (50 or fewer emp.)

1/19/2021

"Excellent framework and application"

5/5

What do you like best about H2O?

Excellent support for commercial product Driverless AI. Rapid iteration. Performance is generally better than one can be achieved in code. Review collected by and hosted on G2.com.

What do you dislike about H2O?

Actually nothing. The combination of proprietary and open source tools, Driverless AI and H2O, provide tools across a full range of use cases. Review collected by and hosted on G2.com.

Verified User in Oil & Energy

Small-Business (50 or fewer emp.)

12/16/2021

"Good Automl software"

4.5/5

What do you like best about H2O?

The web front end known as flow is really easy to use. It can be use to quickly create machine learning models. Review collected by and hosted on G2.com.

What do you dislike about H2O?

The complex machine learning model overfit the data. This is especially true when the data set is small. Review collected by and hosted on G2.com.

Renzo S.

Small-Business (50 or fewer emp.)

11/16/2020

"Workflows for quick ML prototyping"

4.5/5

What do you like best about H2O?

They developed top-quality open source tools, including the H2O-3 and AutoML families. I do not have a license for their Driverless AI, but my experience with it through tutorials and other demos has been superb. I should mention that their efforts to develop frameworks for ML interpretability are spot on, and their learning center is shaping up as a valuable resource to the community in general. The interfaces with R and Python enable a smooth transition of pre-existing workflows into the H2O framework. Review collected by and hosted on G2.com.

What do you dislike about H2O?

Somewhat cryptic debugging msgs in H2O-3. They support specific packages for manipulating data (data.table in R, datataable in Python) for the sake of speed and big data maneuverability, although many users may find this limiting. Driverless AI may not be affordable to the small fish in the pond. Review collected by and hosted on G2.com.

Verified User in Electrical/Electronic Manufacturing

Small-Business (50 or fewer emp.)

4/14/2020

"Driverless AI application for Auomated Machine Learning and Data Analytics"

5/5

What do you like best about H2O?

Easy to use with good UI design and automated ML function. Driverless AI has strong capability on the auto feature engineering and system visualization. The auto feature engineering has supported different machine learning algorithm (Random Forest, Decision Tree, Neural Network, Deep Learning, etc.) and feature parameter tuning (accuracy, time, system computing etc.) The system also helps user to reduce time and efforts for hyparemeter tuning and compare the model with different settings. This will optimize the process and provide the most efficient model for prediction in classification or regression domain. Besides, Driverless AI also has good UI design and visualization. The UI also supports end user to quickly import data, visualize data in different categories, as well as check on the system running and performance during the Auto ML process. The end user could also observe experiment summary and accuracy matrix, as well as model comparison in term of accuracy.

In addition, Driverless AI also supports the AI Interpretation to explain on the model and performance. This function is very helpful to end user for understanding the Machine Learning blackbox, as well as management team for decision making based on extensive information. Review collected by and hosted on G2.com.

What do you dislike about H2O?

It is great if Driverless AI could support deployment for edge computing, which is common in IoT world. The edge computing will require efficient computing and good accuracy with AutoML algorithm. This will help much the customer for deployment. Review collected by and hosted on G2.com.

Rafael P.

Lecturer

Enterprise (> 1000 emp.)

7/13/2020

"A very good experience with Machine Learning"

5/5

What do you like best about H2O?

AutoML is a great product. They have other ones, but AutoML is the most impressive. Review collected by and hosted on G2.com.

What do you dislike about H2O?

Nothing, maybe the integration with Spark could be improved but only in little details. Review collected by and hosted on G2.com.

Jiook C.

Assistant Professor

Small-Business (50 or fewer emp.)

11/13/2020

"h2o is my personal data scientist"

5/5

What do you like best about H2O?

h2o offers a well validated, fully automated, rigorous machine learning pipeline including state of the art model interpretation allowing for prediction and inferences. Review collected by and hosted on G2.com.

What do you dislike about H2O?

i have nothing dislike about h2o's products. Review collected by and hosted on G2.com.

Binesh S.

Mid-Market (51-1000 emp.)

7/27/2020

Business partner of the seller or seller's competitor, not included in G2 scores.

"Great Machine Learning Framework"

5/5

What do you like best about H2O?

The ability to try out multiple models with a few lines of the code is the greatest benefit Review collected by and hosted on G2.com.

What do you dislike about H2O?

H20 does a good job in abstraction of underlying transformation and tuning steps, which could be a bit challenging Review collected by and hosted on G2.com.

Young Hoon K.

Enterprise (> 1000 emp.)

4/14/2020

"H2O.ai is a great tool who wants to build a scalable and interpretable machine learning pipeline."

5/5

What do you like best about H2O?

I find it most helpful that it provides GUI for users to estimate how long the model will run as well as the water meter showing how the resources are used along the modeling process. Review collected by and hosted on G2.com.

What do you dislike about H2O?

H2O Frames have very limited data processing options compared to python pandas or pyspark dataframes. If we can have more data maneuverability, I think it would help a lot. Review collected by and hosted on G2.com.

Verified User in Capital Markets

Small-Business (50 or fewer emp.)

7/24/2020

"Great Product"

4/5

What do you like best about H2O?

The best part of H2O.ai is its ease of use and seamless UI. Review collected by and hosted on G2.com.

What do you dislike about H2O?

One downside of H2O.ai is, as with many services, its bugs which do not return human-readable debugging statements. Review collected by and hosted on G2.com.