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In SQL Server 2012, an in-memory technology called xVelocity column-store indexes targeted for data-warehouse workloads. Mimer SQL: Mimer Information Technology SQL, ODBC, JDBC, ADO.NET, Embedded SQL, C, C++, Python Proprietary Mimer SQL is a general purpose relational database server that can be configured to run fully in-memory.
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 ...
With disk-based technology, data is loaded on to the computer's hard disk in the form of multiple tables and multi-dimensional structures against which queries are run. Disk-based technologies are often relational database management systems (RDBMS), often based on the structured query language , such as SQL Server, MySQL, Oracle and many others.
Database caching is a process included in the design of computer applications which generate web pages on-demand (dynamically) by accessing backend databases.. When these applications are deployed on multi-tier environments that involve browser-based clients, web application servers and backend databases, [1] [2] middle-tier database caching is used to achieve high scalability and performance.
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).
Memory-based: Some DAM systems have a lightweight sensor that attaches to the protected databases and continuously polls the system global area (SGA) to collect SQL statements as they are being performed. A similar architecture was previously used by performance optimization products that also used the SGA and other shared data structures.
The query optimizer attempts to determine the most efficient way to execute a given query by considering the possible query plans. [1] Generally, the query optimizer cannot be accessed directly by users: once queries are submitted to the database server, and parsed by the parser, they are then passed to the query optimizer where optimization ...
The many types of indexes share the common property that they reduce the need to examine every entry when running a query. In large databases, this can reduce query time/cost by orders of magnitude. The simplest form of index is a sorted list of values that can be searched using a binary search with an adjacent reference to the location of the ...