Magma: A High Data Density Storage Engine Used in Couchbase

Summary: Hybrid LSM + segmented log storage for high data density and write-optimized Couchbase. Novel GC of stale versions avoids index lookups during log segment compaction, cutting write amplification and space; 3.3x density, 10x memory reduction, and better write-heavy performance than RocksDB. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 12826
Venue: VLDB
Year: 2022
Pagerank: 4.589577e-05
Overall Rank: 8,089 | 43.73%
DOI: 10.14778/3554821.3554839

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
7,375	BG3: A Cost Effective and I/O Efficient Graph Database in ByteDance	2024	SIGMOD	4.7491278e-05

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
6,068	Have Your Data and Query It Too: From Key-Value Caching to Big Data Management	2016	SIGMOD	5.2280992e-05
11,862	Nitro: A Fast, Scalable In-Memory Storage Engine for NoSQL Global Secondary Index	2016	VLDB	4.1945683e-05

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