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Microsoft SQL Server (Structured Query Language) is a proprietary relational database management system developed by Microsoft.As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications—which may run either on the same computer or on another computer across a network (including the Internet).
May 2019) (Learn how and when to remove this message. This article is a comparison of data modeling tools which are ... MS SQL Server, MySQL, Oracle, Firebird, ...
Microsoft SQL Server: Microsoft: 1989 2022 [22] 2022-11-16; 2 years ago Proprietary: No Microsoft SQL Server Compact (Embedded Database) Microsoft: 2000 2011 (v4.0) Proprietary: No Mimer SQL: Mimer Information Technology 1978 11.0.8E 2024-10-22 Proprietary: No MonetDB: MonetDB Foundation [23] 2004 Aug2024 [24] 2024-08-26 Mozilla Public License ...
Microsoft launched SQL Server 2019 (15.x) on November 4, 2019. SQL Server 2019 introduces Big Data Clusters for SQL Server. It also provides additional capability and improvements for the SQL Server database engine, SQL Server Analysis Services, SQL Server Machine Learning Services, SQL Server on Linux, and SQL Server Master Data Services. [67]
Microsoft SQL Server Express LocalDB is a version of Microsoft SQL Server Express, on-demand managed instance of the SQL Server engine. It is targeted to developers, and has the following restrictions: up to 10 GB database size and only local connections (network connections are not supported).
Windows SharePoint Services 3.0 and Windows Server Update Services 3.0 both include Windows Internal Database, which can be used as an alternative to using a retail edition of SQL Server. WID was a 32-bit application, even as a component of Windows Server 2008 64-bit, which installs in the path C:\Windows\sysmsi\ssee\ In Windows Server 2012 and ...
Master Data Services first shipped with Microsoft SQL Server 2008 R2. Microsoft SQL Server 2016 introduced enhancements to Master Data Services, such as improved performance and security, and the ability to clear transaction logs, create custom indexes, share entity data between different models, and support for many-to-many relationships.
Azure SQL Database includes built-in intelligence that learns app patterns and adapts them to maximize performance, reliability, and data protection. Key capabilities include: Learning of the host app's data access patterns, adaptive performance tuning, and automatic improvements to reliability and data protection. [3] Scaling on demand. [4]