Azure Machine Learning Model Registry
An enterprise-grade machine learning service to build and deploy models faster.
Overview
The Azure Machine Learning model registry allows you to track, version, and manage your machine learning models. It provides a secure and scalable repository for your models, enabling you to streamline your MLOps workflows and ensure the reproducibility of your experiments.
✨ Key Features
- Model Versioning and Tracking
- Model Tagging and Metadata
- Integration with Azure ML pipelines and endpoints
- Model Profiling and Validation
- Role-Based Access Control (RBAC)
🎯 Key Differentiators
- Deep integration with the Microsoft Azure ecosystem and Azure DevOps
- Strong enterprise focus with robust security and governance features
- Support for both code-first and low-code/no-code experiences
Unique Value: Provides an integrated and secure environment for building, deploying, and managing machine learning models on Azure.
🎯 Use Cases (4)
✅ Best For
- Retail for inventory management and sales forecasting
- Manufacturing for predictive maintenance
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Organizations not using the Microsoft Azure cloud platform
🏆 Alternatives
Offers tighter integration with Microsoft's enterprise software and cloud services compared to other platforms.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Phone Support
- ✓ Dedicated Support (Azure Professional Direct and Premier Support tier)
🔒 Compliance & Security
💰 Pricing
✓ 30-day free trial
Free tier: Includes a free tier with a limited amount of compute and storage.
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