Distributed Databases: An Overview

A distributed database is structured to store data across multiple servers, or nodes, connected by a network, enabling it to function as a single logical database. This architecture allows for horizontal scaling by adding more nodes to increase capacity and ensures high availability through automatic data replication. There are two main distribution architectures: primary/secondary, where one node manages all writes and others act as read replicas, and shared-nothing, where data is partitioned across nodes, eliminating a single point of failure. Couchbase, following a shared-nothing approach, uses vBuckets to distribute data, ensuring elastic scalability and continuous availability, making it well-suited for applications that demand these features. Vertical scaling, which involves upgrading to more powerful single servers, can be costly and potentially involves downtime, whereas distributed databases like NoSQL are designed to support elastic scalability and can be expanded by adding cheap, commodity machines. Sharding, or partitioning data into smaller components stored on different nodes, is crucial in shared-nothing systems to manage load and maintain availability, while NoSQL databases offer flexibility by allowing independent data to exist outside tightly coupled tables, unlike traditional SQL databases.

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