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  2. Shard (database architecture) - Wikipedia

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

    Altibase provides combined (client-side and server-side) sharding architecture transparent to client applications. Apache HBase can shard automatically. [6] Azure SQL Database Elastic Database tools shards to scale out and in the data-tier of an application. [7] ClickHouse, a fast open-source OLAP database management system, shards.

  3. CAP theorem - Wikipedia

    en.wikipedia.org/wiki/CAP_theorem

    Note that availability as defined in CAP theorem is different from high availability in software architecture. [5] Partition tolerance The system continues to operate despite an arbitrary number of messages being dropped (or delayed) by the network between nodes.

  4. 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."

  5. Amazon Redshift - Wikipedia

    en.wikipedia.org/wiki/Amazon_Redshift

    Amazon Redshift is a data warehouse product which forms part of the larger cloud-computing platform Amazon Web Services. [1] It is built on top of technology from the massive parallel processing (MPP) data warehouse company ParAccel (later acquired by Actian), [2] to handle large scale data sets and database migrations.

  6. 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]

  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. Autoscaling - Wikipedia

    en.wikipedia.org/wiki/Autoscaling

    Autoscaling, also spelled auto scaling or auto-scaling, and sometimes also called automatic scaling, is a method used in cloud computing that dynamically adjusts the amount of computational resources in a server farm - typically measured by the number of active servers - automatically based on the load on the farm. For example, the number of ...

  9. AWS App Runner - Wikipedia

    en.wikipedia.org/wiki/AWS_App_Runner

    AWS App Runner is a fully managed container application service offered by Amazon Web Services (AWS). Launched in May 2021, it is designed to simplify the process of building, deploying, and scaling containerized applications for developers. [ 1 ]