Couchbase Server 5.5 introduces end-to-end compression, allowing data to stay compressed throughout its journey from client to cache, disk storage, and replication across data centers, which is particularly beneficial given that most customer data is in compressible JSON format. The data flow begins with the client application sending data through SDKs to a managed cache, which prioritizes memory storage and then persists data to disk. Data is also replicated within and across clusters using the Database Change Protocol (DCP), which supports lossless recovery and efficient processing. Compression options include storing data in compressed form on disk and during replication, with the choice of compression mode offered to users. This feature is advantageous for enterprises using public clouds like AWS, Azure, or GCP, as it reduces storage, network, and memory costs, particularly during large-scale data replication. The system is designed to optimize efficiency based on various factors, though measuring the exact compression achieved can be challenging due to the variability in document sizes.