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Disaggregating RocksDB: A Production Experience

Summary: Disaggregating RocksDB adapts a production engine to cloud storage via Tectonic FS, aligning append-only IO with a distributed FS. It targets metadata overhead and tail latency, with engine- and workflow-level optimizations for reliable distributed RocksDB. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6757
Venue
SIGMOD
Year
2023
Pagerank
6.835902e-05
Overall Rank
4,200 | 71.19%
DOI
10.1145/3589772

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{dong_sigmod23,
        title = {{Disaggregating RocksDB: A Production Experience}},
        author = {Dong, Siying and P, Shiva Shankar and Pan, Satadru and Ananthabhotla, Anand and Ekambaram, Dhanabal and Sharma, Abhinav and Dayal, Shobhit and Parikh, Nishant Vinaybhai and Jin, Yanqin and Kim, Albert and Patil, Sushil and Zhuang, Jay and Dunster, Sam and Mahajan, Akanksha and Chelluri, Anirudh and Datye, Chaitanya and Santana, Lucas Vasconcelos and Garg, Nitin and Gawde, Omkar},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3589772},
        url = {https://dl.acm.org/doi/10.1145/3589772},
        year = {2023}
}

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