SQL Server on Azure
The cloud that knows SQL Server best
The best choice for mission-critical database workloads
Get a high-performing, unified SQL platform built on the industry-leading SQL Server engine—with limitless scalability and intelligent performance and security. Migrate without needing to redesign your apps, improve performance of existing apps and build highly scalable cloud services by switching to Azure—the best cloud destination for your mission-critical SQL Server workloads.
Best price-performance for mission-critical data
Azure SQL Database vs. AWS RDS
Switch to Azure SQL Database and get better price-performance than other cloud providers. Azure SQL Database meets your mission-critical requirements while costing up to 86 percent less than the competition.1
1Price-performance claim based on data from a study commissioned by Microsoft and conducted by GigaOm in August 2019. The study compared price-performance between a single, 80 vCore, Gen 5 Azure SQL Database on the business critical service tier and the db.r4.16x large offering for Amazon Web Services Relational Database Service (AWS RDS) on SQL Server. Benchmark data is taken from a GigaOm Analytic Field Test derived from a recognised industry standard, TPC Benchmark™ E (TPC-E) and is based on a mixture of read-only and update intensive transactions that simulate activities found in complex OLTP application environments. Price-performance is calculated by GigaOm as the cost of running the cloud platform continuously for three years divided by transactions per second throughput. Prices are based on publicly available US pricing in East US for Azure SQL Database and US East (Ohio) for AWS RDS as of August 2019. Price-performance results are based upon the configurations detailed in the GigaOm Analytic Field Test. Actual results and prices may vary based on configuration and region.
SQL Server on Azure Virtual Machines vs. AWS EC2
Switch to SQL Server on Azure Virtual Machines and get better performance and price-performance than other cloud providers. Azure SQL Virtual Machines meet your mission-critical requirements and is up to 3.4 times faster and 87 percent cheaper than Amazon Web Services.1
1Price-performance claims based on data from a study commissioned by Microsoft and conducted by GigaOm in October 2019. The study compared price performance between SQL Server 2017 Enterprise edition on Windows Server 2016 Datacenter edition in Azure E64s_v3 instance type with 4x P30 1TB Storage Pool data (Read Only Cache) + 1x P20 0.5TB log (No Cache) and the SQL Server 2017 Enterprise edition on Windows Server 2016 Datacenter edition in AWS EC2 r4.16xlarge instance type with 1x 4TB gp2 data + 1x 1TB gp2 log. Benchmark data is taken from a GigaOm Analytic Field Test derived from a recognised industry standard, TPC Benchmark™ E (TPC-E). The Field Test does not implement the full TPC-E benchmark and as such is not comparable to any published TPC-E benchmarks. The Field Test is based on a mixture of read-only and update intensive transactions that simulate activities found in complex OLTP application environments. Price-performance is calculated by GigaOm as the cost of running the cloud platform continuously for three years divided by transactions per second throughput. Prices are based on publicly available US pricing in West US for SQL Server on Azure Virtual Machines and Northern California for AWS EC2 as of October 2019. Pricing incorporates three year reservations for Azure and AWS compute pricing and Azure Hybrid Benefit for SQL Server and Azure Hybrid Benefit for Windows Server and License Mobility for SQL Server in AWS, excluding Software Assurance costs. Price-performance results are based upon the configurations detailed in the GigaOm Analytic Field Test. Actual results and prices may vary based on configuration and region.
Mission-critical performance and availability
Get limitless scalability and break through your apps’ performance barriers by using cloud-native solutions. Boost the performance and uptime of your apps with the highest business continuity and availability service-level agreements (SLAs) in the industry.Watch demo
Create and manage your SQL databases from a single platform. Build and manage Azure Virtual Machines alongside SQL databases, pools and instances using a centralised management view. And, align your apps’ requirements with the right database resources using a simple guided experience.
Everything you need to get started easily
Azure SQL Database
Get instant access by signing up for an Azure account. Then, discover how to use SQL Database: explore tutorials, samples and other documentation. And deploy SQL Database using quickstart resources made by the Azure community.
SQL Server on Azure Virtual Machines
Start using Linux-based Red Hat, SUSE and Ubuntu SQL Virtual Machine images with Linux documentation and a Red Hat Operations Guide. And, get step-by-step instructions for Windows and data migration scenarios.
See which customers are transforming their business with SQL Server on Azure
Sameer Agarwal, Manager-Enterprise Data Analytics, H&R Block
"SQL Database managed instance gives us a smooth migration path for moving existing workloads to Azure with minimal technical reengineering."
Murray Kristell, Vice President of Development, Descartes MacroPoint
"We felt that Azure had the right combination of services and features for us. Plus, it would be easy to extend our existing Microsoft knowledge to work with Azure."
Dave Wilson, Senior Director of IT Infrastructure and Architecture, Paychex
"Azure SQL Database allows us to execute upgrades and releases without our customers ever knowing it, which is critical for an application that runs 24/7/365."
Nipun Sharma, Analytics Architect, Business Technology and Systems, Komatsu
"We determined Azure SQL Database Managed Instance was the best choice for us in terms of scalability, cost, and performance.… We've seen a 49 percent cost reduction and 25 to 30 percent performance gains."
Peter Tomlinson, Director of IS, Technology Operations, Allscripts
"By moving our acquired applications to Azure, we were able to get them up, running, and adding value to the business in three weeks versus the three months needed to requisition servers and storage."
Fintech company boosts performance and scalability
dv01 reduced query times from 30 seconds to 1 to 2 seconds by migrating from Redshift to SQL Server on Azure Virtual Machines.