Azure Machine Learning vs. IBM watsonx.ai
| Product | Rating | Most Used By | Product Summary | Starting Price |
|---|---|---|---|---|
 Azure Machine Learning | Score8.2 out of 10 | N/A | Microsoft's Azure Machine Learning is and end-to-end data science and analytics solution that helps professional data scientists to prepare data, develop experiments, and deploy models in the cloud. It replaces the Azure Machine Learning Workbench. | $0 per month |
 IBM watsonx.ai | Score8.3 out of 10 | N/A | Watsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models, and traditional machine learning into a studio spanning the AI lifecycle. Watsonx.ai can be used to train, validate, tune, and deploy generative AI, foundation models, and machine learning capabilities, and build AI applications with less time and data. | $0 |
| Azure Machine Learning | IBM watsonx.ai | |||||||||||||||
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| Entry-level Setup Fee | No setup fee | No setup fee | ||||||||||||||
| Additional Details | — | Pricing for watsonx.ai includes: model inference per 1000 tokens and ML tools and ML runtimes based on capacity unit hours. | ||||||||||||||
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| Azure Machine Learning | IBM watsonx.ai | |
|---|---|---|
| Likelihood to Recommend | 8.0 | 8.2 |
| Likelihood to Renew | 7.0 | - |
| Usability | 7.0 | 7.8 |
| Support Rating | 7.9 | - |
| Implementation Rating | 8.0 | - |