Distributed Databases
Distributed databases are designed to store and manage data across multiple physical locations, which can either be spread across multiple servers in a single data center or across different geographic regions. In a distributed database system, the data is not stored in a single physical location, but instead, is distributed across various networked systems. This architecture enables better scalability, fault tolerance, and data redundancy compared to traditional, centralized database systems. The distributed nature of these databases also helps in handling large volumes of data more efficiently, as it can be spread across many machines for parallel processing.
https://en.wikipedia.org/wiki/Distributed_database
A key challenge in distributed databases is maintaining data consistency, which is addressed using various consistency models. One of the most famous is the ACID (Atomicity, Consistency, Isolation, Durability) properties, which ensures that database transactions are processed reliably. However, in distributed databases, consistency models often extend beyond ACID to allow for higher availability and partition tolerance, such as the CAP theorem (Consistency, Availability, and Partition tolerance). Depending on the use case, distributed databases can be configured to prioritize one or more of these properties over the others to achieve the desired balance of consistency and performance.
https://en.wikipedia.org/wiki/CAP_theorem
Distributed databases also offer significant benefits when it comes to system fault tolerance. With data replicated across multiple nodes, the failure of one node does not lead to data loss or downtime. These systems typically employ replication techniques like master-slave replication or peer-to-peer replication to ensure that data is duplicated and available for querying even if one or more servers become unavailable. As a result, distributed databases are widely used in applications requiring high availability and resilience, such as cloud storage systems, e-commerce platforms, and real-time analytics systems.
https://en.wikipedia.org/wiki/Replication_(computing)
Distributed database