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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.
VoltDB v5.0 introduced a database monitoring and management tool, the VoltDB Management Center (VMC for short). VMC provides browser-based one-stop monitoring and configuration management of the VoltDB database, including graphs for cluster throughput and latency as well as CPU and memory usage for the current server.
Database activity monitoring (DAM, a.k.a. Enterprise database auditing and Real-time protection [1]) is a database security technology for monitoring and analyzing database activity. DAM may combine data from network-based monitoring and native audit information to provide a comprehensive picture of database activity.
A database management system (DBMS) is a computer program (or more typically, a suite of them) designed to manage a database, a large set of structured data, and run operations on the data requested by numerous users. Typical examples of DBMS use include accounting, human resources and customer support systems.
Content management systems: Storage and repository systems for content; may be a database or a specialized storage system; Databases administer information, and can also store documents, content, or media. Data warehouses: Complex storage systems based on databases, which provide information from a variety of sources. They may be designed with ...
A data stream management system (DSMS) is a computer software system to manage continuous data streams. It is similar to a database management system (DBMS), which is, however, designed for static data in conventional databases. A DBMS also offers a flexible query processing so that the information needed can be expressed using queries.
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] Administration processes like patching the database software, backing up databases and enabling point-in-time recovery are managed automatically. [4]
The Integrated Database Management System (IDMS) is a network model database management system for mainframes.It was first developed at B.F. Goodrich and later marketed by Cullinane Database Systems (renamed Cullinet in 1983).