Side by side
Azure Machine Learning vs H2O Driverless AI
Both stand on data science and machine learning platforms. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
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Choose Azure Machine Learning if your workflows need forecasting, evaluation, automated learning, or batch and real-time deployment. Look elsewhere if you need a free plan or require listed prices before comparing costs.
Visit Azure Machine Learning Free trial APILinuxMac+3
H2O Driverless AI combines automated machine-learning workflows with explainability and several deployment formats. Teams should plan secure installation and review the platform’s hardware and exploratory-laptop limitations.
Visit H2O Driverless AIThe facts
| Azure Machine Learning | H2O Driverless AI | |
|---|---|---|
| Free plan | No | A free trial |
| Open source | Not published | Not published |
| Runs on | Web | API, Linux, Mac, Self-hosted, Web, Windows |
| Lowest paid plan | Free or on request | Free or on request |
| Plans published | 3 | 1 |
| Maker | Not published | Not published |
| Website | azure.microsoft.com | h2o.ai |
| On data science and machine learning platforms | #16 of 26 | #12 of 26 |
Azure Machine Learning: what it does well
- Includes forecasting and time-series modeling workflows.
- Supports model evaluation and automated machine learning.
- Models can be deployed in batch or in real time.
- Provides API access.
- Pay as you go charges by the second without upfront payment.
What to know first
- There is no free plan.
- Pricing amounts are not provided for the listed plans.
- Two listed options require one- or three-year commitments.
H2O Driverless AI: what it does well
- Automates feature engineering and model selection
- Explains global and individual predictions
- Deploys REST, cloud, or Java models
- Supports major cloud data connectors
- Offers a 21-day public-cloud evaluation
What to know first
- No free plan
- Commercial license requires contacting sales
- Default installation has security disabled
- Windows and macOS laptops suit only small exploratory datasets
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