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  2. Data synchronization - Wikipedia

    en.wikipedia.org/wiki/Data_synchronization

    Synchronization process between a server and two clients. Data synchronization is the process of establishing consistency between source and target data stores, and the continuous harmonization of the data over time. It is fundamental to a wide variety of applications, including file synchronization and mobile device synchronization.

  3. Multi-master replication - Wikipedia

    en.wikipedia.org/wiki/Multi-master_replication

    SymmetricDS is database independent, data synchronization software. It uses web and database technologies to replicate tables between relational databases in near real time. The software was designed to scale for a large number of databases, work across low-bandwidth connections, and withstand periods of network outage.

  4. Replication (computing) - Wikipedia

    en.wikipedia.org/wiki/Replication_(computing)

    When data is replicated between database servers, so that the information remains consistent throughout the database system and users cannot tell or even know which server in the DBMS they are using, the system is said to exhibit replication transparency. However, replication transparency can not always be achieved.

  5. SymmetricDS - Wikipedia

    en.wikipedia.org/wiki/SymmetricDS

    SymmetricDS is open source software for database and file synchronization with Multi-master replication, filtered synchronization, and transformation capabilities. [2] It is designed to scale for a large number of nodes, work across low-bandwidth connections, and withstand periods of network outage. [3]

  6. Data integration - Wikipedia

    en.wikipedia.org/wiki/Data_integration

    Data integration refers to the process of combining, sharing, or synchronizing data from multiple sources to provide users with a unified view. [1] There are a wide range of possible applications for data integration, from commercial (such as when a business merges multiple databases) to scientific (combining research data from different bioinformatics repositories).

  7. Synchronization (computer science) - Wikipedia

    en.wikipedia.org/wiki/Synchronization_(computer...

    Synchronization overheads can significantly impact performance in parallel computing environments, where merging data from multiple processes can incur costs substantially higher—often by two or more orders of magnitude—than processing the same data on a single thread, primarily due to the additional overhead of inter-process communication ...

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  9. Optimistic replication - Wikipedia

    en.wikipedia.org/wiki/Optimistic_replication

    A special case of replication is synchronization, where there are only two replicas. For example, personal digital assistants (PDAs) allow users to edit data either on the PDA or a computer, and then to merge these two datasets together. Note, however, that replication is a broader problem than synchronization, since there may be more than two ...