Centralized Database Architecture
Centralized DBMS relies on a single computer for storing and managing the entire database. This architecture is commonly adopted in organizations where all users require access to the same dataset and centralized control over the data is necessary. Examples of centralized DBMS include Oracle Database and Microsoft SQL Server, providing robust solutions for centralized data management.
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Distributed Database Architecture
Distributed DBMS operates across multiple computers to store and manage the database. Primarily utilized in large organizations with the need for data sharing across various departments or geographical locations, this system ensures data accessibility and modification from multiple locations. Examples of distributed DBMS encompass MongoDB and Cassandra, each facilitating seamless data distribution and management.
Client-Server Database Architecture
Client-Server DBMS employs a client-server architecture for data storage and management. In this setup, the database server is responsible for storing and managing the data, while client applications access and manipulate the data as needed. With its capability to facilitate simultaneous data access for multiple client-servers, client-server DBMS is suitable for multi-user environments. Prominent examples of client-server DBMS include MySQL and PostgreSQL, offering robust features for effective data handling and retrieval.
Understanding the distinctions among these various DBMS architectures is vital for selecting the most suitable system that aligns with specific organizational requirements and objectives.
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