SQL Server on Virtual Machines vs. Azure Virtual Machine Scale Sets
A side-by-side comparison based on G2 review data.
| Metric | SQL Server on Virtual Machines | Azure Virtual Machine Scale Sets |
|---|---|---|
| Overall rating | 4.6 | 4.5 |
| Review count | 18 | 30 |
| Ease of use | 8.9 | 9.0 |
| Ease of setup | 10.0 | 9.5 |
| Quality of support | 8.9 | 9.1 |
| Meets requirements | 8.7 | 9.4 |
| NPS | 86.666667 | 77.777778 |
| Small Business | 33.3% | 30.0% |
| Mid-Market | 22.2% | 30.0% |
| Enterprise | 44.4% | 40.0% |
| Total page views | 73 | 87 |
| Total LLM citations | 4 | 53 |
SQL Server on Virtual Machines
Spin up a virtual machine, back up your SQL Server instance, and restore it into Azure. It’s that easy to reduce your capital investments and optimize operational expenses by migrating your on-premises SQL Server to the cloud. Spin up a virtual machine, back up your SQL Server instance, and restore it into Azure. It's that easy to reduce your capital investments and optimize operational expenses by migrating your on-premises SQL Server to the cloud.
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.
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