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.

Languages supported: English

9.0/10 (Expert Score) ★★★★★
Product is rated as #30 in category Data Science and Machine Learning Platforms
Ease of use
9.0
Support
9.1
Ease of Setup
9.1

H2O.ai is empowering companies to be AI companies. Market leading organizations are using H2O.ai platforms to solve a myriad of AI transformation use cases across industries, including determining credit, decrease fraud and money laundering risks; improve product design, marketing and business innovation; improve early disease detection, drug discovery, personalized medicine; increase customer experiences and loyalty, and improve brand safety.

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.

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Customer Reviews

H2O Reviews

Renzo S.

Advanced user of H2O
★★★★★
Workflows for quick ML prototyping

What do you like best?

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.

What do you dislike?

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.

Recommendations to others considering the product:

One should leverage all the resources available to test their products before buying.

What problems are you solving with the product? What benefits have you realized?

I have mostly used their AutoML to build quick ML/AI prototype solutions in different domains.

Review source: G2.com

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