Understanding LevelDB Architecture, Read/Write Flow, and Compaction Process

LevelDB stores data using an in‑memory Memtable that flushes to immutable tables and disk‑based SSTables, writes are logged then batched and applied through a writer queue, reads check Memtable, immutable Memtable, then SSTables, and background compactions merge tables to improve read performance and reclaim space.

Database InternalsLSM‑TreeLevelDB

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Understanding LevelDB Architecture, Read/Write Flow, and Compaction Process

dbaplus Community

Feb 4, 2020 · Databases

Understanding Cassandra’s Row‑Oriented Storage, Write Path, and Consistency

This article explains Cassandra’s row‑oriented storage model, the multi‑step write and read processes, how tombstones and compaction manage data growth, and the impact of its distributed architecture on high availability, fault tolerance, and configurable consistency levels.

Consistency LevelsDatabase ArchitectureRead Path

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Understanding Cassandra’s Row‑Oriented Storage, Write Path, and Consistency