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Has anyone got experience with running a SQL Server 2017 VM in Microsoft Azure and having an application on-premise that utilizes the data stored in the SQL Server.<br />
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I am being told by a software vendor that the problem with their application on the on-premise workstations is due to latency on the connection to the SQL Server. Naturally there is going to be latency (36ms or greater) and they are not going to see ping times of 1ms (which is what they say they need).<br />
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Surely there must be plenty of applications that run a SQL Server back-end (Azure) with application on the front-end (on-premise). <br />
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Does anyone have any advice on this? How does SQL deal with latency issues caused by applications running remotely?
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Has anyone got experience with running a SQL Server 2017 VM in Microsoft Azure and having an application on-premise that utilizes the data stored in the SQL Server.

I am being told by a software vendor that the problem with their application on the on-premise workstations is due to latency on the connection to the SQL Server. Naturally there is going to be latency (36ms or greater) and they are not going to see ping times of 1ms (which is what they say they need).

Surely there must be plenty of applications that run a SQL Server back-end (Azure) with application on the front-end (on-premise). 

Does anyone have any advice on this? How does SQL deal with latency issues caused by applications running remotely?

SQL Server 2017 VM latency in Azure

Microsoft SQL Server is a suite of relational database management system (RDBMS) products providing multi-user database access functionality.SQL Server is available in multiple versions, typically identified by release year, and versions are subdivided into editions to distinguish between product functionality. Component services include integration (SSIS), reporting (SSRS), analysis (SSAS), data quality, master data, T-SQL and performance tuning.

Microsoft SQL Server

Virtualization is the act of creating a virtual (rather than actual) version of something, including (but not limited to) a virtual computer hardware platform, operating system (OS), storage device, or computer network resources. Virtualization is usually the creation of a system that executes separate from the underlying hardware resources, or the creation of an entire desktop for systems located elsewhere, similar to thin clients.

Virtualization

Microsoft Azure is a cloud computing platform and infrastructure for building, deploying and managing applications and services through datacenters. It provides both platform-as-a-service (PaaS) and infrastructure-as-a-service (IaaS) services and supports many different programming languages, tools and frameworks, including both Microsoft-specific and third-party software and systems. Cloud Services is a PaaS environment and can be used to create scalable applications and services; there are specific software development kits (SDKs) provided by Microsoft for Python, Java, Node.js and .NET. Azure also has file and storage services, data management, analytics and DNS services.

Azure

SQL (Structured Query Language) is designed to be used in conjunction with relational database products as of a means of working with sets of data. SQL consists of data definition, data manipulation, and procedural elements. Its scope includes data insert, query, update and delete, schema creation and modification, and data access control.