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Amazon Relational Database Service (or Amazon RDS) is a distributed relational database service by Amazon Web Services (AWS). [2] It is a web service running "in the cloud" designed to simplify the setup, operation, and scaling of a relational database for use in applications. [ 3 ]
Amazon designed Aurora to be compatible with MySQL, meaning that tools for querying or managing MySQL databases (such as the mysql command-line client and the MySQL Workbench graphical user-interface) can be used. As of December 2021, Amazon Aurora is compatible with MySQL 5.6, 5.7, and 8.0. [15] It supports InnoDB as a storage engine. [16]
Without connection pooling mechanisms (e.g., HikariCP, pgbouncer), idle or excessive connections can strain database resources. Virtual Machine-Based Environments: AWS EC2 instances scale connection demand with the number of instances. Manual or automated tuning of connection pool parameters is essential to prevent exceeding database limits.
Product (database) AWS announces Amazon Aurora, a MySQL-compatible database offering enhanced high availability and performance. [84] [85] The feature becomes available to all AWS customers on July 27, 2015. [86] [87] 2014: November 12: Product (security) AWS Key Management Service [88] 2014: November 13: Product (compute)
A database abstraction layer (DBAL [1] or DAL) is an application programming interface which unifies the communication between a computer application and databases such as SQL Server, IBM Db2, MySQL, PostgreSQL, Oracle or SQLite. Traditionally, all database vendors provide their own interface that is tailored to their products.
Amazon SimpleDB is a distributed database written in Erlang [1] by Amazon.com. It is used as a web service in concert with Amazon Elastic Compute Cloud (EC2) and Amazon S3 and is part of Amazon Web Services. It was announced on December 13, 2007. [2] As with EC2 and S3, Amazon charges fees for SimpleDB storage, transfer, and throughput over the ...
A major component of a bug tracking system is a database that records facts about known bugs. Facts may include the time a bug was reported, its severity, the erroneous program behavior, and details on how to reproduce the bug; as well as the identity of the person who reported it and any programmers who may be working on fixing it.
With future database systems running even faster than ever, there is a need to do more studies so we can continue to have efficient systems. [16] The amount of research studying real-time database systems will increase because of commercial applications such as web based auction houses like eBay. More developing countries are expanding their ...