(computer science) A database maintained in physically separated locations and supported by a computer network so that it is possible to access all parts of the database from various points in the network.
A distributed database is a database system in which data is spread across different locations using a computer network. Distributed databases are used to improve data availability, scalability, and performance by making data accessible from different geographical locations and reducing the risk of a single point of failure. They also facilitate distributed computing and allow for better load balancing and resource utilization.
Distributed databases in a DBMS are databases that are stored on multiple computers across a network. They allow for data to be spread out and accessed simultaneously from different locations, which can improve performance and scalability. Distributed databases can enhance fault tolerance and reduce the risk of data loss.
Distributed databases are spread across multiple nodes or locations, while decentralized databases operate without a central authority or control. Distributed databases may have a centralized component for coordination, while decentralized databases use consensus algorithms for decision-making. Decentralized databases offer higher resilience and security against single points of failure compared to distributed databases.
Distributed databases offer advantages such as improved scalability, increased availability, and better fault tolerance compared to centralized databases. They also provide better performance by reducing network latency and enabling data to be processed closer to where it is needed. Additionally, distributed databases can offer better data security by replicating data across multiple locations.
In a distributed database, data is divided and stored across multiple nodes in a network, while in a replicated database, data is duplicated and stored across multiple nodes for redundancy and fault tolerance. Distributed databases focus on partitioning data for scalability and performance, whereas replicated databases focus on ensuring data availability and reliability.
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.
structure of distributed databases
Distributed databases in a DBMS are databases that are stored on multiple computers across a network. They allow for data to be spread out and accessed simultaneously from different locations, which can improve performance and scalability. Distributed databases can enhance fault tolerance and reduce the risk of data loss.
Distributed databases are spread across multiple nodes or locations, while decentralized databases operate without a central authority or control. Distributed databases may have a centralized component for coordination, while decentralized databases use consensus algorithms for decision-making. Decentralized databases offer higher resilience and security against single points of failure compared to distributed databases.
Distributed databases offer advantages such as improved scalability, increased availability, and better fault tolerance compared to centralized databases. They also provide better performance by reducing network latency and enabling data to be processed closer to where it is needed. Additionally, distributed databases can offer better data security by replicating data across multiple locations.
In a distributed database, data is divided and stored across multiple nodes in a network, while in a replicated database, data is duplicated and stored across multiple nodes for redundancy and fault tolerance. Distributed databases focus on partitioning data for scalability and performance, whereas replicated databases focus on ensuring data availability and reliability.
=A database physically stored in two or more computer systems. Although geographically dispersed, a distributed database system manages and controls the entire database as a single collection of data. If redundant data are stored in separate databases due to performance requirements, updates to one set of data will automatically update the additional sets in a timely manner.==Read more: [http://www.answers.com/topic/distributed-database#ixzz2R7Aof5Cb http://www.answers.com/topic/distributed-database#ixzz2R7Aof5Cb]=
Stefan Jablonski has written: 'Datenverwaltung in verteilten Systemen' -- subject(s): Database management, Distributed databases
The plural of database is databases.
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.
No. It is a spreadsheet application. You can do simple databases in it, but it is not designed to create complex databases like relational databases. To do that you would use an actual database application.
You would mirror a database when you have a distributed database management system (DDBMS). especially in different countries with different time zones to allow users perform insert, update and delete operations to avoid inconsistency in database values. This is a security and disaster management implementation.
Pretty much the same way it works in any type of architecture. If it's distributed it just means it can span multiple databases of different types. Database changes required by a transaction are initially stored temporarily by each database. The transaction monitor then issues a "pre-commit" command to each database which requires an acknowledgement. If the monitor receives the appropriate response from each database, the monitor issues the "commit" command, which causes all databases to simultaneously make the transaction changes permanent.