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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.
Postgres-XC which is based on PostgreSQL provides scalable synchronous multi-master replication. [38] It is licensed under the same license as PostgreSQL. A related project is called Postgres-XL. Postgres-R is yet another fork. [39] Bidirectional replication (BDR) is an asynchronous multi-master replication system for PostgreSQL. [40]
Slony-I is an asynchronous master-slave replication system for the PostgreSQL DBMS, providing support for cascading and failover. Asynchronous means that when a database transaction has been committed to the master server, it is not yet guaranteed to be available in slaves. Cascading means that replicas can be created (and updated) via other ...
PGD is a multi-master replication solution based on PostgreSQL. It supports CRDT column types. Novell, Inc. introduced a state-based CRDT with "loosely consistent" directory replication (NetWare Directory Services), included in NetWare 4.0 in 1995. [39] The successor product, eDirectory, delivered improvements to the replication process. [40]
In databases, and transaction processing (transaction management), snapshot isolation is a guarantee that all reads made in a transaction will see a consistent snapshot of the database (in practice it reads the last committed values that existed at the time it started), and the transaction itself will successfully commit only if no updates it has made conflict with any concurrent updates made ...
It is written in C and extends PostgreSQL. [ 6 ] [ 7 ] TimescaleDB is a relational database [ 8 ] and supports standard SQL queries. Additional SQL functions and table structures provide support for time series data oriented towards storage, performance, and analysis facilities for data-at-scale.
In a distributed database system, a transaction could execute its operations at multiple sites. Since atomicity requires every distributed transaction to be atomic, the transaction must have the same fate (commit or abort) at every site.
Some of the NewSQL databases like Citus and Vitess have fundamentally different architectures, but were cited as examples of NewSQL by Matthew Aslett who coined the term. [11] In essence, distributed SQL databases are built from the ground-up and NewSQL databases include replication and sharding technologies added to existing client-server ...