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What is the difference between distributed and replicated database?
Wiki User
∙ 7y ago
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'.
Wiki User
∙ 7y ago
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.
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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 a collection of related data organized for quick search and retrieval, usually stored on a single computer system. A distributed database is a database in which parts of the database are stored in multiple locations but managed by a centralized control. Distributed databases are used to improve performance, reliability, and scalability by allowing data to be spread across multiple servers or locations.
Different between distributed and decentralized on database?
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.
What are the differences between distributed systems and distributed database systems?
Distributed systems refer to a network of independent computers that work together to achieve a common goal, while distributed database systems specifically involve databases that are spread across multiple locations. Distributed database systems focus on storing and managing data across various nodes in a network, whereas distributed systems are more general and encompass a broader range of functionalities beyond data management.
Is there a difference between a database and a data capture form?
Yes, there is a difference. A database is a structured collection of data organized for easy access and manipulation, while a data capture form is a tool used to input data into a database. The form collects information that is then stored in the database for further processing and analysis.
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.
What is the difference between distributed systems and advance distributed systems?
no answer
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Difference between database and distributed database?
A database is a collection of related data organized for quick search and retrieval, usually stored on a single computer system. A distributed database is a database in which parts of the database are stored in multiple locations but managed by a centralized control. Distributed databases are used to improve performance, reliability, and scalability by allowing data to be spread across multiple servers or locations.
What is the difference between database and database administrator?
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What different between local and distributed transactions?
Normally there are two types of servers. one is local and other one is distributed.. The difference between of both these transactions is local would be on the same server or database on the same machine and distributed is when u do transfer of money from one bank to another the servers involved are different and placed at different locations...
What is centralized database?
Distributed and Centralized Databases Distributed data is defined as collection of logically distributed database which are connected with each other through a network. A distributed database management system is used for managing distributed database. Each side has its own database and operating system.A centralized database has all its data on one place. As it is totally different from distributed database which has data on different places. In centralized database as all the data reside on one place so problem of bottle-neck can occur, and data availability is not efficient as in distributed database. Let me define some advantages of distributed database, it will clear the difference between centralized and distributed database.Users can issue commands from any location to access data and it does not affect the working of database. Distributed database allows us to store one copy of data at different locations. Its advantage is that if a user wants to access data then the nearest site (location) will provide data so it takes less time.There are multiple sites (computers) in a distributed database so if one site fails then system will not be useless, because other sites can do their job because as I earlier said that same copy of data is installed on every location. You will not find this thing in centralized database.Any time new nodes (computers) can be added to the network without any difficulty.Users do not know about the physical storage of data and it is known as distribution transparency, as we know that ideally, a DBMS must not show the details of where each file is stored or we can say that a DBMS should be distribution transparent.
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Inter-query parallelism results from the ability to execute multiple queries at the same time while intra-query parallelism is achieved by breaking up a single query into a number of subqueries each of which is executed at a different site, accessing a different part of the distributed database. If the user access to the distributed database consisted only of querying (i.e., read-only access), then provision of inter-query and intra-query parallelism would imply that as much of the database as possible should be replicated. However, since most database accesses are not read-only, the mixing of read and update operations requires the implementation of elaborate concurrency control and commit protocols.
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