"Choosing between LSM Trees and B-Trees dictates the throughput ceiling of your write-heavy or read-heavy workload." What We're Building We are analyzing the fundamental trade-offs between two dominant key-value storage paradigms. The goal is not to declare one superior, but to understand the architectural implications of each. This comparison focuses on write amplification, read latency, and disk seek patterns. We will examine how these structures handle concurrent writes and sequential reads, providing a decision framework for engineering teams selecting a persistence layer. Step 1 — B-Tree Random Access Optimization B-Trees enforce a balanced height and sorted order, ensuring that insertion, deletion, and lookup operations run in O(log n) time. Maintaining balance requires frequent random writes to disk whenever a node splits. This structure minimizes read latency because any key is accessed in a predictable number of disk seeks.…