Azure Machine Learning vs. Determined AI
A side-by-side comparison based on G2 review data.
| Metric | Azure Machine Learning | Determined AI |
|---|---|---|
| Overall rating | 4.3 | 4.5 |
| Review count | 90 | 11 |
| Ease of use | 8.7 | 8.0 |
| Ease of setup | 8.6 | 8.6 |
| Quality of support | 8.8 | 8.2 |
| Meets requirements | 8.7 | 8.9 |
| NPS | 48.275862 | 63.636364 |
| Small Business | 33.3% | 54.5% |
| Mid-Market | 26.7% | 36.4% |
| Enterprise | 40.0% | 9.1% |
| Total page views | 239 | 18 |
| Total LLM citations | 1,035 | 5 |
Azure Machine Learning
Azure Machine Learning is an enterprise-grade service that facilitates the end-to-end machine learning lifecycle, enabling data scientists and developers to build, train, and deploy models efficiently. Key Features and Functionality: - Data Preparation: Quickly iterate data preparation on Apache Spark clusters within Azure Machine Learning, interoperable with Microsoft Fabric. - Feature Store: Increase agility in shipping your models by making features discoverable and reusable across workspaces.
- Features
- Ease of Use
- Customer Support
- Data Management
- Implementation Ease
- Efficiency
Determined AI
Determined AI takes a pragmatic, results-driven approach to deep learning, with a goal of dramatically improving the productivity of deep learning developers. Its integrated AutoML platform simplifies the entire deep learning workflow from data management to model training and deployment.