H2O.ai
FREEMIUMOpen-source and enterprise AI and ML platform
► Train models on large datasets with distributed computing
Product Details
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PROS & CONS
STRENGTHS
- Open-source H2O framework is widely used and well documented
- Driverless AI provides automated ML with explainability features
- Scales to large datasets with distributed computing support
WEAKNESSES
- −Enterprise features require commercial licensing
- −Interface is less polished than newer AutoML competitors
KEY FEATURES
H2O-3
Open-source ML platform with distributed algorithms
Driverless AI
AutoML with automatic feature engineering and model selection
H2O Wave
Build interactive AI applications with Python
MLOps
Deploy and monitor models with enterprise governance
WHO IS H2O.ai BEST FOR?
Data scientists needing scalable ML
Train models on large datasets with distributed computing
Enterprises automating ML workflows
Use AutoML to accelerate model development cycles
INTEGRATIONS
TECHNICAL DETAILS
✓ AVAILABLE
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DOSSIER
- COMPANY
- H2O.ai
- HQ
- Mountain View, United States
- FOUNDED
- 2012
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