Amazon AWS Platform vs. Azure Virtual Machine Scale Sets
A side-by-side comparison based on G2 review data.
| Metric | Amazon AWS Platform | Azure Virtual Machine Scale Sets |
|---|---|---|
| Overall rating | 4.7 | 4.5 |
| Review count | 84 | 30 |
| Ease of use | 9.0 | 9.0 |
| Ease of setup | 8.8 | 9.5 |
| Quality of support | 9.2 | 9.1 |
| Meets requirements | 9.7 | 9.4 |
| NPS | 85.185185 | 77.777778 |
| Small Business | 38.1% | 30.0% |
| Mid-Market | 38.1% | 30.0% |
| Enterprise | 23.8% | 40.0% |
| Total page views | 234 | 87 |
| Total LLM citations | 1,134 | 53 |
Amazon AWS Platform
Amazon Web Services (AWS) is a comprehensive and widely adopted cloud platform that offers over 200 fully featured services from data centers globally. Since its launch in 2006, AWS has enabled millions of customers—including startups, enterprises, and government agencies—to lower costs, become more agile, and innovate faster. Key Features and Functionality: - Compute Power: AWS provides scalable computing capacity through services like Amazon EC2, allowing users to run applications on virtual servers tailored to their needs.
- Free Services
- Services Variety
- Scalability
- Cost-Effective
- Customer Support
Azure Virtual Machine Scale Sets
Azure Virtual Machine Scale Sets (VMSS) enable the creation and management of a group of load-balanced virtual machines (VMs) that can automatically scale in response to demand or a defined schedule. This service is designed to support large-scale applications, such as batch processing, big data, and container workloads, by allowing users to efficiently deploy and manage thousands of VMs with uniform configurations.
- Services
- Cloud Storage
- Simple
- Ease of Use
- User Interface
- Application Development