| title | SQL Server Documentation | Microsoft Docs | |||||||
|---|---|---|---|---|---|---|---|---|
| ms.date | 09/24/2019 | |||||||
| ms.prod | sql | |||||||
| ms.reviewer | ||||||||
| ms.custom | ||||||||
| ms.technology | ||||||||
| ms.topic | conceptual | |||||||
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| ms.assetid | 674933a8-e423-4d44-a39b-2a997e2c2333 | |||||||
| author | craigg-msft | |||||||
| ms.author | jroth | |||||||
| monikerRange | =azuresqldb-current||=azuresqldb-mi-current||=azure-sqldw-latest||>= aps-pdw-2016||>=sql-server-2016||>=sql-server-linux-2017||=sql-server-previousversions||=sqlallproducts-allversions |
[!INCLUDEappliesto-ss-asdb-asdw-pdw-md]
::: moniker range=">= sql-server-linux-2017 || >= sql-server-2017 || = sqlallproducts-allversions" SQL Server is a central part of the Microsoft data platform. SQL Server is an industry leader in operational database management systems (ODBMS). This documentation helps you install, configure, and use SQL Server on both Windows and Linux. The content includes end-to-end examples, code samples, and videos. For SQL Server language topics, see Language Reference. ::: moniker-end
::: moniker range="= sql-server-2016" SQL Server is a central part of the Microsoft data platform. SQL Server is an industry leader in operational database management systems (ODBMS). This documentation helps you install, configure, and use SQL Server on Windows. The content includes end-to-end examples, code samples, and videos. For SQL Server language topics, see Language Reference. ::: moniker-end
SQL Server 2014, and older versions including SQL Server 2005, have documentation available here.
::: moniker range="= sqlallproducts-allversions"
The SQL Server 2014 documentation is available here.
::: moniker-end
::: moniker range="= sql-server-ver15"
| What's new | Release notes |
|---|---|
| What's New in SQL Server 2019 | SQL Server 2019 Release Notes |
::: moniker-end
::: moniker range="= sql-server-linux-2017 || = sql-server-2017"
| What's new | Release notes |
|---|---|
| What's New in SQL Server 2017 | SQL Server 2017 Release Notes |
Note
SQL Server 2019 preview is now available. For more information, see What's New in SQL Server 2019. ::: moniker-end
::: moniker range="=sql-server-2016"
| What's new | Release notes |
|---|---|
| What's New in SQL Server 2016 | SQL Server 2016 Release Notes |
::: moniker-end
::: moniker range="= sql-server-2016 || = sqlallproducts-allversions" Try SQL Server 2016!
Download SQL Server for Windows
Get a Virtual Machine with SQL Server
::: moniker-end
::: moniker range=">= sql-server-2017 || >= sql-server-linux-2017 || = sqlallproducts-allversions" Try SQL Server!
Download SQL Server for Windows
Install SQL Server on Linux
Get a Virtual Machine with SQL Server
::: moniker-end
[!INCLUDEget-sql-tools]
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Database Engine The Database Engine is the core service for storing, processing, and securing data. The Database Engine provides controlled access and rapid transaction processing to meet the requirements of the most demanding data consuming applications within your enterprise. The Database Engine also provides rich support for sustaining high availability. |
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Machine Learning Services Machine Learning Services gives the ability to run Python and R scripts with relational data. You can use open source and Microsoft packages for predictive analytics and machine learning. The scripts are executed in-database without moving data outside SQL Server or over the network. |
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Integration Services [!INCLUDEssISnoversion] is a platform for building high performance data integration solutions, including packages that provide extract, transform, and load (ETL) processing for data warehousing. |
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Analysis Services [!INCLUDEssASnoversion_md] is an analytical data platform and toolset for personal, team, and corporate business intelligence. Servers and client designers support traditional OLAP solutions, new tabular modeling solutions, as well as self-service analytics and collaboration using [!INCLUDEssGemini], Excel, and a SharePoint Server environment. [!INCLUDEssASnoversion] also includes Data Mining so that you can uncover the patterns and relationships hidden inside large volumes of data. |
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Reporting Services Reporting Services delivers enterprise, Web-enabled reporting functionality. You can create reports that draw content from a variety of data sources, publish reports in various formats, and centrally manage security and subscriptions. |
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Replication Replication is a set of technologies for copying and distributing data and database objects from one database to another, and then synchronizing between databases to maintain consistency. By using replication, you can distribute data to different locations and to remote or mobile users by means of local and wide area networks, dial-up connections, wireless connections, and the Internet. |
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Data Quality Services SQL Server Data Quality Services (DQS) provides you with a knowledge-driven data cleansing solution. DQS enables you to build a knowledge base, and then use that knowledge base to perform data correction and deduplication on your data, using both computer-assisted and interactive means. You can use cloud-based reference data services, and you can build a data management solution that integrates DQS with SQL Server Integration Services and Master Data Services. |
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Master Data Services [!INCLUDEssMDSshort] is the [!INCLUDEssNoVersion] solution for master data management. A solution built on [!INCLUDEssMDSshort] helps ensure that reporting and analysis is based on the right information. Using [!INCLUDEssMDSshort], you create a central repository for your master data and maintain an auditable, securable record of that data as it changes over time. |
| Name | Https URL root |
|---|---|
| Azure SQL Database single database | https://docs.microsoft.com/azure/sql-database/ |
| Azure SQL Database managed instance | https://docs.microsoft.com/azure/sql-database/sql-database-managed-instance |
| SQL Server on a virtual machine (VM) | https://docs.microsoft.com/azure/virtual-machines/windows/sql/ |
| SQL Data Warehouse | https://docs.microsoft.com/azure/sql-data-warehouse/ |
| Analytics Platform System (APS) | https://docs.microsoft.com/sql/analytics-platform-system/ Note: APS hosts SQL Server Parallel Data Warehouse (PDW), which is the software that runs the massively parallel processing (MPP) data warehouse. |
| SQL Server on Linux | https://docs.microsoft.com/sql/linux/ |
| Name | Https URL root |
|---|---|
| PostgreSQL database | https://docs.microsoft.com/azure/postgresql/ |
| MySQL database | https://docs.microsoft.com/azure/mysql/ |
| NoSQL: Azure Cosmos DB | https://docs.microsoft.com/azure/cosmos-db/ |
::: moniker range="= sql-server-2016 || = sqlallproducts-allversions"
- Import and Export Data with the SQL Server Import and Export Wizard
- Migrate your SQL Server database to Azure SQL Database
- Microsoft Data Migration Assistant
- Azure migration journey - assess, migrate, optimize ::: moniker-end
::: moniker range=">= sql-server-2017 || >= sql-server-linux-2017 || = sqlallproducts-allversions"
- Import and Export Data with the SQL Server Import and Export Wizard
- Migrate data to SQL Server on Linux
- Migrate your SQL Server database to Azure SQL Database
- Microsoft Data Migration Assistant
- Import data from Excel to SQL Server or SQL Database ::: moniker-end
- SQL Server Update Center links and information for all supported versions
- Wide World Importers sample database
- AdventureWorks sample databases and scripts for SQL Server 2016
- SQL Server samples on GitHub
[!INCLUDEprevious-versions]
The versioning control on this :::no-loc text="Docs"::: webpage is above the table of contents. For information about how you can use the versioning control and exactly what it does, see:
[!INCLUDEget-help-options]
[!INCLUDEcontribute-to-content]







