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  2. Amazon Relational Database Service - Wikipedia

    en.wikipedia.org/wiki/Amazon_Relational_Database...

    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 ]

  3. Amazon Aurora - Wikipedia

    en.wikipedia.org/wiki/Amazon_Aurora

    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]

  4. Timeline of Amazon Web Services - Wikipedia

    en.wikipedia.org/.../Timeline_of_Amazon_Web_Services

    Gartner releases an updated version of its Magic Quadrant, evaluating Infrastructure as a Service (IaaS) offerings. Amazon Web Services and Microsoft Azure are the only two services in the top right quadrant ("Leaders") with AWS higher up. A number of services are in the bottom right and bottom left quadrants. [102] [103] [104] 2015: July 9 ...

  5. MySQL Cluster - Wikipedia

    en.wikipedia.org/wiki/MySQL_Cluster

    MySQL Cluster, also known as MySQL Ndb Cluster is a technology providing shared-nothing clustering and auto-sharding for the MySQL database management system. It is designed to provide high availability and high throughput with low latency, while allowing for near linear scalability. [ 3 ]

  6. Comparison of MySQL database engines - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_MySQL...

    This is a comparison between notable database engines for the MySQL database management system (DBMS). A database engine (or "storage engine") is the underlying software component that a DBMS uses to create, read, update and delete (CRUD) data from a database .

  7. Database administration - Wikipedia

    en.wikipedia.org/wiki/Database_administration

    Automated Database operations has grown since 2009, following Amazon Web Services introduction of AWS RDS, providing automated and managed database as a service. [1] Microsoft Azure launched a similar automated database as a service in 2010, with SQL Azure, providing automated backups, with geo-replication and high availability.

  8. Amazon Redshift - Wikipedia

    en.wikipedia.org/wiki/Amazon_Redshift

    Amazon Redshift is based on an older version of PostgreSQL 8.0.2, and Redshift has made changes to that version. [5] [6] An initial preview beta was released in November 2012 [7] and a full release was made available on February 15, 2013. The service can handle connections from most other applications using ODBC and JDBC connections. [8]

  9. Cloud database - Wikipedia

    en.wikipedia.org/wiki/Cloud_database

    A cloud database is a database that typically runs on a cloud computing platform and access to the database is provided as-a-service. There are two common deployment models: users can run databases on the cloud independently, using a virtual machine image, or they can purchase access to a database service, maintained by a cloud database provider.