Illustration comparing B‑Tree nodes and LSM Tree levels.

Memory Management Tradeoffs: B‑Trees vs. LSM Trees

A deep dive into the memory management trade‑offs between B‑Trees and LSM Trees, with practical guidance for database developers.

May 14, 2026 · 8 min · 1492 words · martinuke0
Illustration of a Log‑Structured Merge tree versus a B‑tree.

Why LSM Trees Outperform B-Trees for Write Heavy Workloads

LSM trees excel in write‑heavy scenarios by batching writes and deferring compaction, while B‑trees suffer from random I/O. This post breaks down the mechanisms that give LSM trees their edge.

May 14, 2026 · 7 min · 1387 words · martinuke0
Illustration of a B‑tree node beside an LSM tree log segment.

Why B‑Trees Outperform LSM Trees for Read‑Heavy Workloads

A deep dive into the structural differences that make B‑trees superior for read‑intensive scenarios, backed by benchmarks and real‑world engineering insights.

May 13, 2026 · 7 min · 1368 words · martinuke0
Illustration of a log‑structured merge tree with multiple levels

Optimizing Write Throughput with Log-Structured Merge Trees

A deep dive into LSM‑tree internals, compaction strategies, and configuration knobs that let you squeeze maximum write performance from modern storage engines.

May 13, 2026 · 7 min · 1305 words · martinuke0
Diagram of an LSM tree with levels and compaction.

How LSM Trees Minimize Write Amplification in Distributed Databases

A deep dive into LSM tree mechanics and why they’re the go‑to choice for minimizing write amplification in modern distributed databases.

May 13, 2026 · 8 min · 1556 words · martinuke0
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