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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. Distributed SQL databases typically use the ...
Multi-master replication can be contrasted with primary-replica replication, in which a single member of the group is designated as the "master" for a given piece of data and is the only node allowed to modify that data item. Other members wishing to modify the data item must first contact the master node.
Replication in computing refers to maintaining multiple copies of data, processes, or resources to ensure consistency across redundant components. This fundamental technique spans databases, file systems, and distributed systems, serving to improve availability, fault-tolerance, accessibility, and performance. [1]
In SQL Server 2012, an in-memory technology called xVelocity column-store indexes targeted for data-warehouse workloads. Mimer SQL: Mimer Information Technology SQL, ODBC, JDBC, ADO.NET, Embedded SQL, C, C++, Python Proprietary Mimer SQL is a general purpose relational database server that can be configured to run fully in-memory.
Replication involves using specialized software that looks for changes in the distributive database. Once the changes have been identified, the replication process makes all the databases look the same. The replication process can be complex and time-consuming, depending on the size and number of the distributed databases.
Transbase supports replication of a master database in several slave database instances. Replication can be configured synchronous (for hot-standby databases) or asynchronous for distributing database changes to a huge number of recipients. Replicated databases can even be cascaded in the latter case.
Eventual consistency, also called optimistic replication, [2] is widely deployed in distributed systems and has origins in early mobile computing projects. [3] A system that has achieved eventual consistency is often said to have converged , or achieved replica convergence . [ 4 ]
Earlier replication software that allowed similar read scaling normally relied on adding replication triggers to the master, increasing load. PostgreSQL includes built-in synchronous replication [37] that ensures that, for each write transaction, the master waits until at least one replica node has written the data to its transaction log ...