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)
Incoming Non-self Citations Over Time
Authors
- 1. Siying Dong
- 2. Shiva Shankar P
- 3. Satadru Pan
- 4. Anand Ananthabhotla
- 5. Dhanabal Ekambaram
- 6. Abhinav Sharma
- 7. Shobhit Dayal
- 8. Nishant Vinaybhai Parikh
- 9. Yanqin Jin
- 10. Albert Kim
- 11. Sushil Patil
- 12. Jay Zhuang
- 13. Sam Dunster
- 14. Akanksha Mahajan
- 15. Anirudh Chelluri
- 16. Chaitanya Datye
- 17. Lucas Vasconcelos Santana
- 18. Nitin Garg
- 19. Omkar Gawde
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 156 | Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases | 2017 | SIGMOD | 0.00040504295 |
| 569 | Optimizing Space Amplification in RocksDB | 2017 | CIDR | 0.00019924098 |
| 1,960 | Compaction management in distributed key-value datastores | 2015 | VLDB | 9.9521444e-05 |
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