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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
5608
Venue
SIGMOD
Year
2018
Pagerank
6.4015289e-05
Overall Rank
5,012 | 65.62%
DOI
10.1145/3183713.3196900

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{qader_sigmod18,
        title = {{A Comparative Study of Secondary Indexing Techniques in LSM-based NoSQL Databases}},
        author = {Qader, Mohiuddin Abdul and Cheng, Shiwen and Hristidis, Vagelis},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3196900},
        url = {https://dl.acm.org/doi/10.1145/3183713.3196900},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

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
472 Optimizing Space Amplification in RocksDB 2017 CIDR 0.000179044
1,749 PaxosStore: High-availability Storage Made Practical in WeChat 2017 VLDB 9.8395185e-05
1,874 Storage Management in AsterixDB 2014 VLDB 9.5750002e-05
2,966 Asynchronous View Maintenance for VLSD Databases 2009 SIGMOD 7.9152992e-05
3,026 Database Replication: a Tale of Research across Communities 2010 VLDB 7.8384865e-05
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