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Automatic Database Management System Tuning Through Large-scale Machine Learning

Summary: Automated DBMS tuning via large-scale ML (OtterTune) to select impactful knobs, map unseen workloads to known ones, and recommend settings. Evaluated on three DBMSs; achieves configurations as good as or better than existing tools or human experts. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5405
Venue
SIGMOD
Year
2017
Pagerank
0.00036721403
Overall Rank
183 | 98.73%
DOI
10.1145/3035918.3064029

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 45 of 145 citing papers.

Rank Citing Paper Year Venue Pagerank
8,896 SQL-Factory: A Multi-Agent Framework for High-Quality and Large-Scale SQL Generation 2026 VLDB 4.427232e-05
9,006 Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems 2024 VLDB 4.4101482e-05
9,074 Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning 2023 SIGMOD 4.402065e-05
9,141 Automatic SQL Error Mitigation in Oracle 2023 VLDB 4.3855791e-05
9,190 MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud 2024 VLDB 4.3768215e-05
9,291 DARTH: Declarative Recall Through Early Termination for Approximate Nearest Neighbor Search 2026 SIGMOD 4.3619549e-05
9,352 Db2une: Tuning Under Pressure via Deep Learning 2024 VLDB 4.3522361e-05
9,467 Database Gyms 2023 CIDR 4.3346412e-05
9,603 Saturn: An Optimized Data System for Multi-Large-Model Deep Learning Workloads 2024 VLDB 4.3177432e-05
9,605 Waffle: In-memory Grid Index for Moving Objects with Reinforcement Learning-based Configuration Tuning System 2022 VLDB 4.3177432e-05
9,618 A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach 2025 SIGMOD 4.3173366e-05
9,733 ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems 2023 VLDB 4.2942813e-05
9,736 UDAO: A Next-Generation Unified Data Analytics Optimizer 2019 VLDB 4.2942813e-05
9,844 DumpKV: Learning based lifetime aware garbage collection for key value separation in LSM-tree 2025 VLDB 4.2721228e-05
9,852 Machine Unlearning in Learned Databases: An Experimental Analysis 2024 SIGMOD 4.2714575e-05
9,892 DBMS Fitting: Why should we learn what we already know? 2020 CIDR 4.261445e-05
9,917 Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes 2023 VLDB 4.2561557e-05
9,956 SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression 2025 VLDB 4.2373024e-05
10,047 AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning 2026 SIGMOD 4.1945683e-05
10,093 MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration 2026 SIGMOD 4.1945683e-05
10,164 ESTune: Bayesian Uncertainty-Guided Early Stopping for Database Configuration Tuning 2026 SIGMOD 4.1945683e-05
10,217 This is Going to Sound Crazy, But What If We Used Large Language Models to Boost Automatic Database Tuning Algorithms By Leveraging Prior History? We Will Find Better Configurations More Quickly Than Retraining From Scratch! 2026 SIGMOD 4.1945683e-05
10,247 Why Database Manuals Are Not Enough: Efficient and Reliable Configuration Tuning for DBMSs via Code-Driven LLM Agents 2026 VLDB 4.1945683e-05
10,259 Scarf: Self-Adaptive Tuning via Multi-Objective Reinforcement Learning for Apache Flink 2026 VLDB 4.1945683e-05
10,271 OBELISK: Efficient Offline Query Planning with Bayesian Optimization-Informed Language Model Reasoning 2026 VLDB 4.1945683e-05
10,301 DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning 2026 VLDB 4.1945683e-05
10,328 Libra: One-Shot Parameter Sensitivity Estimation for Transfer Learning in Database Performance Prediction 2026 VLDB 4.1945683e-05
10,335 Generic Version Control: Configurable Versioning for Application-Specific Requirements 2025 CIDR 4.1945683e-05
10,370 Centrum: Model-based Database Auto-tuning with Minimal Distributional Assumptions 2025 SIGMOD 4.1945683e-05
10,414 Rockhopper: A Robust Optimizer for Spark Configuration Tuning in Production Environment 2025 SIGMOD 4.1945683e-05
10,425 Automated Database Tuning vs. Human-Based Tuning in a Simulated Stressful Work Environment: A Demonstration of the Database Gym 2025 SIGMOD 4.1945683e-05
10,518 High-Throughput Ingestion for Video Warehouse: Comprehensive Configuration and Effective Exploration 2025 SIGMOD 4.1945683e-05
10,633 AQETuner: Reliable Query-level Configuration Tuning for Analytical Query Engines 2025 VLDB 4.1945683e-05
10,668 Twisted Twin: A Collaborative and Competitive Memory Management Approach in HTAP Systems 2025 VLDB 4.1945683e-05
10,707 PBench: Workload Synthesizer with Real Statistics for Cloud Analytics Benchmarking 2025 VLDB 4.1945683e-05
10,849 AXE: A Task Decomposition Approach to Learned LSM Tuning 2025 VLDB 4.1945683e-05
10,852 CloudGlide: Deconstructing the Landscape of Cloud-Based Analytics 2025 VLDB 4.1945683e-05
10,859 Graph Transformers for Query Plan Representation: Potentials and Challenges 2025 VLDB 4.1945683e-05
10,872 LASER: Buffer-Aware Learned Query Scheduling in Master-Standby Databases 2025 VLDB 4.1945683e-05
10,931 Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless 2024 SIGMOD 4.1945683e-05
10,999 Towards Full Stack Adaptivity in Permissioned Blockchains 2024 VLDB 4.1945683e-05
11,225 Auto-Tuning with Reinforcement Learning for Permissioned Blockchain Systems 2023 VLDB 4.1945683e-05
11,279 Demonstrating Waffle: A Self-driving Grid Index 2023 VLDB 4.1945683e-05
11,300 Towards Auto-Generated Data Systems 2023 VLDB 4.1945683e-05
11,415 Budget-Conscious Fine-Grained Configuration Optimization for Spatio-Temporal Applications 2022 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
158 Automated Selection of Materialized Views and Indexes for SQL Databases 2000 VLDB 0.00040071492
209 Schism: a Workload-Driven Approach to Database Replication and Partitioning 2010 VLDB 0.00034468292
237 An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server 1997 VLDB 0.00031726304
286 Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design 2004 SIGMOD 0.00028990057
340 OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases 2014 VLDB 0.00026841628
424 Tuning Database Configuration Parameters with iTuned 2009 VLDB 0.00023616398
516 AutoAdmin "What-if" Index Analysis Utility 1998 SIGMOD 0.00021196031
663 Adaptive Self-Tuning Memory in DB2 2006 VLDB 0.00018469455
765 Automatic Performance Diagnosis and Tuning in Oracle 2005 CIDR 0.00017016449
887 Automatic Virtual Machine Configuration for Database Workloads 2008 SIGMOD 0.00015578896
2,624 Goal-Oriented Buffer Management Revisited* 1996 SIGMOD 8.4332581e-05
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6,379 A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning 2023 SIGMOD 5.0909479e-05
10,217 This is Going to Sound Crazy, But What If We Used Large Language Models to Boost Automatic Database Tuning Algorithms By Leveraging Prior History? We Will Find Better Configurations More Quickly Than Retraining From Scratch! 2026 SIGMOD 4.1945683e-05
782 QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning 2019 VLDB 0.00016729063
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