Amazon SageMaker vs. Microsoft Fabric
A side-by-side comparison based on G2 review data.
| Metric | Amazon SageMaker | Microsoft Fabric |
|---|---|---|
| Overall rating | 4.3 | 4.6 |
| Review count | 57 | 46 |
| Ease of use | 8.6 | 9.1 |
| Ease of setup | 8.6 | 9.1 |
| Quality of support | 8.9 | 9.2 |
| Meets requirements | 8.9 | 9.4 |
| NPS | 46.296296 | 81.818182 |
| Small Business | 30.9% | 22.2% |
| Mid-Market | 34.5% | 37.8% |
| Enterprise | 34.5% | 40.0% |
| Total page views | 401 | 528 |
| Total LLM citations | 1,606 | 3,698 |
Amazon SageMaker
Amazon SageMaker is a fully managed service that enables data scientists and developers to build, train, and deploy machine learning (ML) models at scale. It provides a comprehensive suite of tools and infrastructure, streamlining the entire ML workflow from data preparation to model deployment. With SageMaker, users can quickly connect to training data, select and optimize algorithms, and deploy models in a secure and scalable environment.
- Ease of Use
- Implementation Ease
- Model Management
- Time-Saving
- Features
- Fast Processing
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