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A distributed database is a database in which data is stored across different physical locations. [1] It may be stored in multiple computers located in the same physical location (e.g. a data centre); or maybe dispersed over a network of interconnected computers.
A distributed SQL database is a single relational database which replicates data across multiple servers. Distributed SQL databases are strongly consistent and most support consistency across racks, data centers, and wide area networks including cloud availability zones and cloud geographic zones .
A distributed data store is a computer network where information is stored on more than one node, often in a replicated fashion. [1] It is usually specifically used to refer to either a distributed database where users store information on a number of nodes , or a computer network in which users store information on a number of peer network nodes .
A deductive database combines logic programming with a relational database. A distributed database is one in which both the data and the DBMS span multiple computers. A document-oriented database is designed for storing, retrieving, and managing document-oriented, or semi structured, information. Document-oriented databases are one of the main ...
Distributed Relational Database Architecture (DRDA) is a database interoperability standard from The Open Group. DRDA describes the architecture for distributed relational databases. It defines the rules for accessing the distributed data, but it does not provide the actual application programming interfaces (APIs) to perform the access .
Redis is a distributed, highly available, and scalable in-memory database with a "CRDT-enabled database" feature. [27] SoundCloud open-sourced Roshi, a LWW-element-set CRDT for the SoundCloud stream implemented on top of Redis. [28] Riak is a distributed NoSQL key-value data store based on CRDTs. [29]
In practice most commercial database systems use strong strict two phase locking (SS2PL) for concurrency control, which ensures global serializability, if all the participating databases employ it. A common algorithm for ensuring correct completion of a distributed transaction is the two-phase commit (2PC).
A DBMS can be classified as either centralized or distributed. A centralized system manages a single database while distributed manages multiple databases. A component DBS in a DBMS may be centralized or distributed. A multiple DBS (MDBS) can be classified into two types depending on the autonomy of the component DBS as federated and non federated.