Back to papers
DBAIOps: A Reasoning LLM-Enhanced Database Operation and Maintenance System using Knowledge Graphs
Summary: DBAIOps fuses a heterogeneous knowledge graph with reasoning LLMs for DBA-style O&M, turning manuals and diagnostics into structured diagnosis paths rather than brittle RAG. Key novelty: semi-automatic graph construction + 800+ reusable anomaly models + automatic graph exploration to infer root cause and generate actionable reports.
(summarized by gpt-5.4-mini on Apr 12 2026)
- Paper ID
- 14281
- Venue
- VLDB
- Year
- 2026
- Pagerank
- 4.1905499e-05
- Overall Rank
- 10,244 | 28.81%
- DOI
-
10.14778/3797919.3797937
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 760 |
Automatic Performance Diagnosis and Tuning in Oracle |
2005 |
CIDR |
0.00017003914 |
| 1,024 |
DBSherlock: A Performance Diagnostic Tool for Transactional Databases |
2016 |
SIGMOD |
0.00014601525 |
| 1,953 |
D-Bot: Database Diagnosis System using Large Language Models |
2024 |
VLDB |
9.9701097e-05 |
| 2,050 |
Automatically Indexing Millions of Databases in Microsoft Azure SQL Database |
2019 |
SIGMOD |
9.6883066e-05 |
| 2,140 |
Diagnosing Root Causes of Intermittent Slow Queries in Cloud Databases |
2020 |
VLDB |
9.4565836e-05 |
| 3,716 |
Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale |
2022 |
SIGMOD |
6.8170433e-05 |
| 4,234 |
Panda: Performance Debugging for Databases using LLM Agents |
2024 |
CIDR |
6.3300159e-05 |
| 6,125 |
iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks |
2019 |
SIGMOD |
5.1949154e-05 |
| 6,564 |
Automatic Database Configuration Debugging using Retrieval-Augmented Language Models |
2025 |
SIGMOD |
5.0037892e-05 |
| 6,753 |
Breaking It Down: An In-depth Study of Index Advisors |
2024 |
VLDB |
4.9345582e-05 |
| 7,308 |
DBMind: A Self-Driving Platform in openGauss |
2021 |
VLDB |
4.7620018e-05 |
| 7,993 |
RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems |
2025 |
VLDB |
4.6080455e-05 |
| 10,422 |
OpenMLDB: A Real-Time Relational Data Feature Computation System for Online ML |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,485 |
Cracking SQL Barriers: An LLM-based Dialect Translation System |
2025 |
SIGMOD |
4.1905499e-05 |
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 9,282 |
DBG-PT: A Large Language Model Assisted Query Performance Regression Debugger |
2024 |
VLDB |
4.3598981e-05 |
| 7,703 |
AOP: Automated and Interactive LLM Pipeline Orchestration for Answering Complex Queries |
2025 |
CIDR |
4.668568e-05 |
| 7,030 |
R-Bot: An LLM-based Query Rewrite System |
2025 |
VLDB |
4.8518029e-05 |
| 8,479 |
Can Large Language Models Be Query Optimizer for Relational Databases? |
2026 |
SIGMOD |
4.4967983e-05 |
| 10,434 |
Andromeda: Debugging Database Performance Issues with Retrieval-Augmented Large Language Models |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,247 |
Why Database Manuals Are Not Enough: Efficient and Reliable Configuration Tuning for DBMSs via Code-Driven LLM Agents |
2026 |
VLDB |
4.1905499e-05 |
| 6,564 |
Automatic Database Configuration Debugging using Retrieval-Augmented Language Models |
2025 |
SIGMOD |
5.0037892e-05 |
| 4,234 |
Panda: Performance Debugging for Databases using LLM Agents |
2024 |
CIDR |
6.3300159e-05 |
| 10,442 |
D-Bot: An LLM-Powered DBA Copilot |
2025 |
SIGMOD |
4.1905499e-05 |
| 1,953 |
D-Bot: Database Diagnosis System using Large Language Models |
2024 |
VLDB |
9.9701097e-05 |