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articles/sql-database/sql-database-cloud-migrate.md

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# SQL Server database migration to SQL Database in the cloud
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In this article, you learn about the two primary methods for migrating a SQL Server 2005 or later database to Azure SQL Database. The first method is simpler but requires some, possibly substantial, downtime during the migration. The second method is more complex, but substantially eliminates downtime during the migration.
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In both cases, you need to ensure that the source database is compatible with Azure SQL Database. With SQL Database V12, we are approaching [feature parity](sql-database-features.md) with SQL Server, other than issues related to server-level and cross-database operations. Databases and applications that rely on [partially supported or unsupported functions](sql-database-transact-sql-information.md) need some [re-engineering to fix these incompatibilities](sql-database-cloud-migrate.md#resolving-database-migration-compatibility-issues) before the SQL Server database can be migrated.
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In both cases, you need to ensure that the source database is compatible with Azure SQL Database using the [Data Migration Assistant (DMA)](https://www.microsoft.com/download/details.aspx?id=53595). SQL Database V12 is approaching [feature parity](sql-database-features.md) with SQL Server, other than issues related to server-level and cross-database operations. Databases and applications that rely on [partially supported or unsupported functions](sql-database-transact-sql-information.md) need some [re-engineering to fix these incompatibilities](sql-database-cloud-migrate.md#resolving-database-migration-compatibility-issues) before the SQL Server database can be migrated.
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> [!NOTE]
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> To migrate a non-SQL Server database, including Microsoft Access, Sybase, MySQL Oracle, and DB2 to Azure SQL Database, see [SQL Server Migration Assistant](https://blogs.msdn.microsoft.com/datamigration/2016/12/22/released-sql-server-migration-assistant-ssma-v7-2/).

articles/sql-database/sql-database-export.md

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* For an export to be transactionally consistent, you must ensure either that no write activity is occurring during the export, or that you are exporting from a [transactionally consistent copy](sql-database-copy.md) of your Azure SQL database.
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* If you are exporting to blob storage, the maximum size of a BACPAC file is 200 GB. To archive a larger BACPAC file, export to local storage.
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* Exporting a BACPAC file to in Azure premium storage using the methods discussed in this article is not supported.
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* Exporting a BACPAC file to Azure premium storage using the methods discussed in this article is not supported.
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* If the export operation from Azure SQL Database exceeds 20 hours, it may be canceled. To increase performance during export, you can:
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* Temporarily increase your service level.
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* Cease all read and write activity during the export.
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---
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redirect_url: /azure/sql-database/sql-database-get-started
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redirect_url: /azure/sql-database/sql-database-service-tiers
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articles/sql-database/sql-database-paas-vs-sql-server-iaas.md

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Learn how each option fits into the Microsoft data platform and get help matching the right option to your business requirements. Whether you prioritize cost savings or minimal administration ahead of everything else, this article can help you decide which approach delivers against the business requirements you care about most.
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## Microsoft's data platform
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One of the first things to understand in any discussion of Azure versus on-premises SQL Server databases is that you can use it all. Microsoft’s data platform leverages SQL Server technology and makes it available across physical on-premises machines, private cloud environments, third-party hosted private cloud environments, and public cloud. SQL Server on Azure virtual mchines enables you to meet unique and diverse business needs through a combination of on-premises and cloud-hosted deployments, while using the same set of server products, development tools, and expertise across these environments.
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One of the first things to understand in any discussion of Azure versus on-premises SQL Server databases is that you can use it all. Microsoft’s data platform leverages SQL Server technology and makes it available across physical on-premises machines, private cloud environments, third-party hosted private cloud environments, and public cloud. SQL Server on Azure virtual machines enables you to meet unique and diverse business needs through a combination of on-premises and cloud-hosted deployments, while using the same set of server products, development tools, and expertise across these environments.
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![Cloud SQL Server options: SQL server on IaaS, or SaaS SQL database in the cloud.](./media/sql-database-paas-vs-sql-server-iaas/SQLIAAS_SQL_Server_Cloud_Continuum.png)
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articles/sql-database/sql-database-transact-sql-information.md

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ms.topic: article
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ms.tgt_pltfrm: na
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ms.workload: data-management
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ms.date: 03/03/2017
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ms.date: 03/17/2017
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ms.author: rickbyh
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# Resolving Transact-SQL differences during migration to SQL Database   
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When [migrating your database](sql-database-cloud-migrate.md) from SQL Server to Azure SQL Server, you may discover that your database requires some re-engineering before the SQL Server can be migrated. This topic provides guidance to assist you in both performing this re-engineering and understanding the underlying reasons why the re-engineering is necessary.
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When [migrating your database](sql-database-cloud-migrate.md) from SQL Server to Azure SQL Server, you may discover that your database requires some re-engineering before the SQL Server can be migrated. This topic provides guidance to assist you in both performing this re-engineering and understanding the underlying reasons why the re-engineering is necessary. To detect incompatibilities, use the [Data Migration Assistant (DMA)](https://www.microsoft.com/download/details.aspx?id=53595).
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## Overview
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Most Transact-SQL features that applications use are fully supported in both Microsoft SQL Server and Azure SQL Database. For example, the core SQL components such as data types, operators, string, arithmetic, logical, and cursor functions, work identically in SQL Server and SQL Database. There are, however, a few T-SQL differences in DDL (data-definition language) and DML (data manipulation language) elements resulting in T-SQL statements and queries that are only partially supported (which we discuss later in this topic).

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