Wednesday, April 14, 2021

H2O: Product Overview and Insight

See the full list of Top Predictive Analytics Vendors

Bottom Line

Enterprises focused on predictive analytics that have experienced data scientists who are looking for a low-cost machine learning platform should consider H2O. It receives rave reviews from both analysts and end users, and it is becoming one of the staples in the analytics arsenal.

Significantly, it comes in both open source and enterprise versions, which allows wide compatablity between various platforms. The company behind the project also offers paid enterprise support, for companies with a budget that need a helping hand.

Product Description

H2O is an open source machine learning platform created by a company called H2O.ai. It claims to be the world’s number one open source machine learning platform. It offers fast in-memory processing with linear scalability and support for all the most widely used statistical and machine learning algorithms. Because it is open source, it offers very flexible deployment and lower costs than proprietary predictive analytics tools.

Gartner ranked it as a Leader for machine learning, and it received 4.7 stars from Gartner PeerInsights.

Key Features

  • Automatic feature engineering
  • Machine learning interpretability
  • Natural language processing
  • Automatic scoring pipelines
  • Time series
  • Automatic visualization
  • Flexibility of data and deployment
  • NVIDIA GPU acceleration

Editions Available

H2O (open source), Sparkling Water (H2O + Spark), H2O Driverless AI (paid enterprise version).

Integrations

Hadoop, Python, Spark, leading cloud services.

Delivery

Downloadable software that can be deployed anywhere.

Target Market

Enterprises.

Pricing and How to Buy

Open source versions are free. Enterprise version has a free trial with pricing available on request.

H2O Features Chart

H2O
Editions Available H2O (open source), Sparkling Water (H2O + Spark), H2O Driverless AI (paid enterprise version)
Key Features • Automatic feature engineering
• Machine learning interpretability
• Natural language processing
• Automatic scoring pipelines
• Time series
• Automatic visualization
• Flexibility of data and deployment
• NVIDIA GPU acceleration
Integrations Hadoop, Python, Spark, leading cloud services
Delivery Downloadable software that can be deployed anywhere.
Target Market Enterprises
Price Open source versions are free. Enterprise version has a free trial with pricing available on request.

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