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A Comparative Study of Secondary Indexing Techniques in LSM-based NoSQL Databases

Summary: Taxonomy of NoSQL secondary indexes: Embedded vs Stand-alone. LevelDB++ implements 5 index types atop LevelDB; empirical study shows no single winner; embedded indexes boost write throughput and space efficiency, stand-alone indexes speed up queries; workload-driven guideline. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5546
Venue
SIGMOD
Year
2018
Pagerank
5.4019839e-05
Overall Rank
5,631 | 60.83%
DOI
10.1145/3183713.3196900

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Showing 5 of 5 cited papers.

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

Rank Cited Paper Year Venue Pagerank
569 Optimizing Space Amplification in RocksDB 2017 CIDR 0.00019924098
1,577 PaxosStore: High-availability Storage Made Practical in WeChat 2017 VLDB 0.00011285777
2,021 Storage Management in AsterixDB 2014 VLDB 9.7601304e-05
3,092 Asynchronous View Maintenance for VLSD Databases 2009 SIGMOD 7.5800633e-05
3,291 Database Replication: a Tale of Research across Communities 2010 VLDB 7.266902e-05
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