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Hekaton (also known as SQL Server In-Memory OLTP) is an in-memory database for OLTP workloads built into Microsoft SQL Server. [1] Hekaton was designed in collaboration with Microsoft Research [2] and was released in SQL Server 2014. [3] [4] Traditional RDBMS systems were designed when memory resources were expensive, and were optimized for ...
Database tuning describes a group of activities used to optimize and homogenize the performance of a database. It usually overlaps with query tuning, but refers to design of the database files, selection of the database management system (DBMS) application, and configuration of the database's environment ( operating system , CPU , etc.).
Implement and maintain database security (create and maintain users and roles, assign privileges). Database tuning and performance monitoring. Application tuning and performance monitoring. Setup and maintain documentation and standards. Plan growth and changes (capacity planning). Work as part of a team and provide 24/7 support when required.
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).
Database administrators can easily monitor the health of various components in the monitoring instance. Application developers may also make use of such tools to diagnose and correct application-performance problems as well as improve SQL server performance.
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 ...
See the main article at Performance engineering. Performance engineering is the discipline encompassing roles, skills, activities, practices, tools, and deliverables used to meet the non-functional requirements of a designed system, such as increase business revenue, reduction of system failure, delayed projects, and avoidance of unnecessary usage of resources or work.
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]