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Distributed and replicated databases have a topology of having roles : 'masters' and 'slaves' even though in a replicated database schema, the distinction becomes a little blurred.

Distributed databases are normally those where information is updated on a master. The changes in the master are distributed out to a number of slave databases. The slave databases can be updated themselves but if they are, their information isn't distributed to any other database. Should the master have updated information that would contend with information in a slave, the master would take presidence.

Replicated databases are normally those in which there is the capability to post updates to both 'master' through to 'slave' as well as 'slave' through to 'master'.

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What is the difference between a distributed database and distributed processing?

A distributed database is a collection of databases stored on multiple computers and accessed through a network, allowing for data to be distributed across different locations. Distributed processing, on the other hand, refers to breaking down a task into smaller parts that are processed on multiple computers simultaneously, enabling faster computation by leveraging the collective resources of multiple machines.


Difference between database and distributed database?

A database is nothing but simply a collection of records. The data can be stored all at a same place or can be distributed in different systems . When data is stored in different places that is distributed it is called distributed database.A database is normally stored in one place. That could be a physical location, like a particular office. A distributed database is one database that has different parts of it stored in different places. This is often for security and safety purposes. To a user, they still see all of the data they need on their screen, so they don't even realise that it is stored in different locations.


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Related Questions

What is the difference between a distributed database and distributed processing?

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