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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]
RD—Remote Desktop; rd—remove directory; RDBMS—Relational Database Management System; RDC—Remote Desktop Connection; RDF—Resource Description Framework; RDM—Relational Data Model; RDOS—Real-time Disk Operating System; RDP—Remote Desktop Protocol; RDS—Remote Data Services; REFAL—Recursive Functions Algorithmic Language; REP ...
To get started with AWS CDK, developers need to install the AWS CDK Toolkit, which provides a command-line interface (CLI) for creating and managing AWS CDK projects. [17] The CLI can be installed using the Node.js package manager or any compatible package manager. Once the AWS CDK Toolkit is installed, developers can create a new AWS CDK ...
Remote Data Services (RDS, formerly known as Advanced Data Connector or ADC) is an older technology that is part of Microsoft SQL Server, and used in conjunction with ActiveX Data Objects (ADO). RDS allowed the retrieval of a set of data from a database server , which the client then altered in some way and then sent back to the server for ...
SQL Anywhere (formerly known as Sybase Adaptive Server Anywhere and Watcom SQL) Proprietary SQL Azure (Cloud SQL Server) Proprietary SQLBase: Proprietary SQLite: Public Domain SQream DB: Proprietary SAP Advantage Database Server (formerly known as Sybase Advantage Database Server) Proprietary Teradata: Proprietary TiDB: Apache License 2.0 ...
Some researchers have made a functional and experimental analysis of several distributed file systems including HDFS, Ceph, Gluster, Lustre and old (1.6.x) version of MooseFS, although this document is from 2013 and a lot of information are outdated (e.g. MooseFS had no HA for Metadata Server at that time).
It has properties of both databases and distributed hash tables (DHTs). It was created to help address some scalability issues that Amazon experienced during the holiday season of 2004. [ 2 ] By 2007, it was used in Amazon Web Services , such as its Simple Storage Service (S3).