Couchbase, a distributed database, emphasizes performance and efficiency, particularly for bulk data retrieval operations. While many databases offer "multi-get" methods to fetch multiple documents simultaneously, Couchbase leverages reactive programming to enable tailored batching, offering more flexibility than standard APIs. Couchbase's SDKs, including Java, .NET, and Go, support bulk operations by managing parallel requests, node targeting, and asynchronous execution efficiently. Reactive programming in Couchbase optimizes throughput and reduces latency, making it ideal for high-demand distributed systems. Implementations using the Reactive API and frameworks like Spring WebFlux enhance system responsiveness by minimizing thread blocking and CPU throttling. For developers who prefer more fine-grained control, Couchbase also provides asynchronous APIs, although these require careful management of concurrency and backpressure. Reactive programming is advocated as a powerful approach for improving performance and scalability in bulk get operations, even if only partially implemented in existing architectures.