Microsoft Fabric vs. Azure Machine Learning
A side-by-side comparison based on G2 review data.
| Metric | Microsoft Fabric | Azure Machine Learning |
|---|---|---|
| Overall rating | 4.6 | 4.3 |
| Review count | 46 | 90 |
| Ease of use | 9.1 | 8.7 |
| Ease of setup | 9.1 | 8.6 |
| Quality of support | 9.2 | 8.8 |
| Meets requirements | 9.4 | 8.7 |
| NPS | 81.818182 | 48.275862 |
| Small Business | 22.2% | 33.3% |
| Mid-Market | 37.8% | 26.7% |
| Enterprise | 40.0% | 40.0% |
| Total page views | 528 | 239 |
| Total LLM citations | 3,698 | 1,035 |
Microsoft Fabric
Microsoft Fabric is a comprehensive, AI-powered data analytics platform that unifies various data management and analysis tools into a single, integrated environment. It combines the capabilities of Microsoft Power BI, Azure Synapse Analytics, and Azure Data Factory, offering a seamless experience for data integration, engineering, warehousing, real-time analytics, data science, and business intelligence. By centralizing these services, Fabric simplifies data management, enhances collaboration, and accelerates the transformation of raw data into actionable insights.
- Ease of Use
- Customer Support
- Intuitive
- Features
- Easy Setup
- Data Integration
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