YugabyteDB's DocDB storage engine is capable of handling very high data densities per node, which helps keep server footprint and cloud provider bills low. The system was tested on a 4-node cluster in Google Compute Platform with a total data set size of approximately 1.4TB across 300-byte key values and 50-byte value sizes. The results showed that YugabyteDB achieved sub-ms read latencies, with an average read latency of 0.88 ms, and an optimal number of disk I/Os for the workload. This is made possible by Yugabyte's highly optimized storage engine, which effectively chunks/partitions and caches index and bloom filter blocks. The system also demonstrated high bloom filter efficiency in minimizing the number of I/Os to SSTable files in its Log-Structure-Merge organized storage engine.