A relational database management system (RDBMS) called Microsoft SQL Server serves a wide range of business intelligence, analytics, and transaction processing applications in corporate IT environments. Along with Oracle Database and IBM’s DB2, Microsoft SQL Server is one of the three database technologies that dominate the market.
SQL is a standardized programming language that database administrators (DBAs) and other IT professionals use to administer databases and query the data they contain. Microsoft SQL Server, like other RDBMS software, is built on top of SQL. Transact-SQL (T-SQL), a Microsoft implementation of SQL that enhances the basic language with a number of proprietary programming extensions, is a component of SQL Se
Versions of SQL Server
SQL Server 2012
Prior versions included SQL Server 2005, 2008, and 2008 R2, which, despite its name’s follow-up sound, was regarded as a substantial release. SQL Server 2012 and SQL Server 2014 followed. Columnstore indexes, which may be used to store data in a column-based structure for data warehousing and analytics applications, and AlwaysOn availability groups, a high availability and disaster recovery solution, were among the new features added to SQL Server 2012.
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SQL Server 2014
Online transaction processing (OLTP) applications can now be run against data that is stored in memory-optimized tables rather than conventional disk-based ones thanks to the addition of in-memory OLTP in SQL Server 2014. The buffer pool extension, another new feature in SQL Server 2014, connects the buffer pool memory cache with a solid-state drive to increase I/O throughput by offloading data from traditional hard drives.
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Microsoft SQL Server 2016
In June 2016, Microsoft SQL Server 2016 went generally accessible. It was created as part of Microsoft’s “mobile first, cloud first” technology strategy, which the company had embraced two years before. Additionally, SQL Server 2016 added support for hybrid clouds, which enables DBAs to run databases on a combination of on-premises systems and public cloud services to lower IT costs. Other new features in SQL Server 2016 include real-time operational analytics, data visualisation, and reporting on mobile devices. For instance, the Microsoft Azure cloud receives infrequently used data from on-premises storage devices using the SQL Server Stretch Database technology while maintaining the data’s queryability.
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SQL Server 2017
For more than 20 years, Microsoft SQL Server was the only database that ran on Windows. However, Microsoft announced in 2016 that it intended to make the DBMS available on Linux as well, beginning with a new version released as a community technology preview that November and initially known as SQL Server vNext; later, the update was formally known as SQL Server 2017, and it became generally available in October of that year.
Support for the Python programming language, an open source language that is popular in analytics applications, is another noteworthy aspect of SQL Server 2017. . The database software’s machine learning toolkit and a number of other functions are initially exclusively accessible in the Windows edition, with a more constrained feature set offered on Linux.
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SQL Server 2019
A sample of SQL Server 2019 is currently downloadable, however the full version is scheduled to launch in late 2019. The most recent public preview version at this time is SQL Server 2019 CTP 3.0, which is only available as an Evaluation Edition. Introducing new features and changes concentrating on performance, security, and growing work volume data, SQL Server 2019 was unveiled in September 2018.
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