DBScholar

Back to papers

D-Bot: An LLM-Powered DBA Copilot

Summary: D-Bot is an LLM-powered DBA copilot for automated diagnosis across millions of cloud DBs. It ingests diagnostic docs, engages in self-refinement with user interaction, and produces grounded root-cause analyses and remediation reports. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7202
Venue
SIGMOD
Year
2025
Pagerank
5.093636e-05
Overall Rank
10,713 | 26.50%
DOI
10.1145/3722212.3725091

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@inproceedings{sun_sigmod25,
        title = {{D-Bot: An LLM-Powered DBA Copilot}},
        author = {Sun, Zhaoyan and Zhou, Xuanhe and Wu, Jianming and Zhou, Wei and Li, Guoliang},
        series = {{SIGMOD} '25},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3722212.3725091},
        url = {https://dl.acm.org/doi/10.1145/3722212.3725091},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
6,259 R-Bot: An LLM-based Query Rewrite System 2025 VLDB 5.93967e-05
Previous Page 1 / 1 Next

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
1,920 D-Bot: Database Diagnosis System using Large Language Models 2024 VLDB 9.4846185e-05
4,621 spade: Synthesizing Data Quality Assertions for Large Language Model Pipelines 2024 VLDB 6.6024412e-05
Previous Page 1 / 1 Next

Semantically Similar Papers