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  2. Database scalability - Wikipedia

    en.wikipedia.org/wiki/Database_scalability

    Database scalability is the ability of a database to handle changing demands by adding/removing resources. Databases use a host of techniques to cope. [ 1 ] According to Marc Brooker: "a system is scalable in the range where marginal cost of additional workload is nearly constant."

  3. Very large database - Wikipedia

    en.wikipedia.org/wiki/Very_large_database

    A very large database, (originally written very large data base) or VLDB, [1] is a database that contains a very large amount of data, so much that it can require specialized architectural, management, processing and maintenance methodologies.

  4. Shard (database architecture) - Wikipedia

    en.wikipedia.org/wiki/Shard_(database_architecture)

    Horizontal partitioning splits one or more tables by row, usually within a single instance of a schema and a database server. It may offer an advantage by reducing index size (and thus search effort) provided that there is some obvious, robust, implicit way to identify in which partition a particular row will be found, without first needing to search the index, e.g., the classic example of the ...

  5. 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 ]

  6. Scalability testing - Wikipedia

    en.wikipedia.org/wiki/Scalability_testing

    Scalability testing is the testing of a software application to measure its capability to scale up or scale out in terms of any of its non-functional capability.. Performance, scalability and reliability testing are usually grouped together by software quality analysts.

  7. Hyperscale computing - Wikipedia

    en.wikipedia.org/wiki/Hyperscale_computing

    In computing, hyperscale is the ability of an architecture to scale appropriately as increased demand is added to the system. This typically involves the ability to seamlessly provide and add compute, memory, networking, and storage resources to a given node or set of nodes that make up a larger computing, distributed computing, or grid computing environment.

  8. AOL Mail

    mail.aol.com/?icid=aol.com-nav

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  9. Database - Wikipedia

    en.wikipedia.org/wiki/Database

    Formally, a "database" refers to a set of related data accessed through the use of a "database management system" (DBMS), which is an integrated set of computer software that allows users to interact with one or more databases and provides access to all of the data contained in the database (although restrictions may exist that limit access to particular data).