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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
h2102c219f1cf4d9c
Venue
SIGMOD
Year
2017
Pagerank
0.00036684414
Overall Rank
78 | 99.48%
DOI
10.1145/3035918.3064029

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{aken_sigmod17,
        title = {{Automatic Database Management System Tuning Through Large-scale Machine Learning}},
        author = {Van Aken, Dana and Pavlo, Andrew and Gordon, Geoffrey J. and Zhang, Bohan},
        series = {{SIGMOD} '17},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3035918.3064029},
        url = {https://dl.acm.org/doi/10.1145/3035918.3064029},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 50 of 155 citing papers.

Rank Citing Paper Year Venue Pagerank
8,854 Avoiding Read Stalls on Flash Storage 2022 SIGMOD 5.264098e-05
8,872 Tiresias: Enabling Predictive Autonomous Storage and Indexing 2022 VLDB 5.2584643e-05
8,883 Your Read is Our Priority in Flash Storage 2022 VLDB 5.2563247e-05
8,947 Machine Unlearning in Learned Databases: An Experimental Analysis 2024 SIGMOD 5.2532248e-05
9,012 ByteCard: Enhancing ByteDance’s Data Warehouse with Learned Cardinality Estimation 2024 SIGMOD 5.2375369e-05
9,023 Rockhopper: A Robust Optimizer for Spark Configuration Tuning in Production Environment 2025 SIGMOD 5.2348677e-05
9,115 Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes 2023 VLDB 5.2271833e-05
9,133 Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems 2024 VLDB 5.2229655e-05
9,136 DARTH: Declarative Recall Through Early Termination for Approximate Nearest Neighbor Search 2026 SIGMOD 5.2224279e-05
9,161 Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning 2023 SIGMOD 5.2154395e-05
9,180 Twisted Twin: A Collaborative and Competitive Memory Management Approach in HTAP Systems 2025 VLDB 5.2120789e-05
9,222 SQL-Factory: A Multi-Agent Framework for High-Quality and Large-Scale SQL Generation 2026 VLDB 5.2056825e-05
9,350 Automatic SQL Error Mitigation in Oracle 2023 VLDB 5.1891342e-05
9,431 MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud 2024 VLDB 5.1783663e-05
9,620 Db2une: Tuning Under Pressure via Deep Learning 2024 VLDB 5.1501614e-05
9,706 Database Gyms 2023 CIDR 5.1376763e-05
9,904 AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning 2026 SIGMOD 5.1103839e-05
9,919 Waffle: In-memory Grid Index for Moving Objects with Reinforcement Learning-based Configuration Tuning System 2022 VLDB 5.1103839e-05
9,956 Graph Transformers for Query Plan Representation: Potentials and Challenges 2025 VLDB 5.1038322e-05
10,084 ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems 2023 VLDB 5.0830849e-05
10,088 UDAO: A Next-Generation Unified Data Analytics Optimizer 2019 VLDB 5.0830849e-05
10,183 DumpKV: Learning based lifetime aware garbage collection for key value separation in LSM-tree 2025 VLDB 5.0651993e-05
10,217 DBMS Fitting: Why should we learn what we already know? 2020 CIDR 5.0582281e-05
10,285 Towards Full Stack Adaptivity in Permissioned Blockchains 2024 VLDB 5.0448662e-05
10,290 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 5.0431863e-05
10,291 Why Database Manuals Are Not Enough: Efficient and Reliable Configuration Tuning for DBMSs via Code-Driven LLM Agents 2026 VLDB 5.0431863e-05
10,333 SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression 2025 VLDB 5.0281656e-05
10,466 HAMMER: An Automatic RAG Tuning System via Hierarchical Memory-Guided Monte Carlo Tree Search 2026 SIGMOD 4.9793485e-05
10,580 MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration 2026 SIGMOD 4.9793485e-05
10,641 ESTune: Bayesian Uncertainty-Guided Early Stopping for Database Configuration Tuning 2026 SIGMOD 4.9793485e-05
10,729 Scarf: Self-Adaptive Tuning via Multi-Objective Reinforcement Learning for Apache Flink 2026 VLDB 4.9793485e-05
10,741 OBELISK: Efficient Offline Query Planning with Bayesian Optimization-Informed Language Model Reasoning 2026 VLDB 4.9793485e-05
10,747 LakeHelm: Zero-Shot Lakehouse Advisor for Joint Engine-Format Selection and Configuration 2026 VLDB 4.9793485e-05
10,759 Compass: SLO-aware Query Planner for Compound AI Serving at Scale 2026 VLDB 4.9793485e-05
10,798 NeurIDA: Dynamic Modeling for Effective In-Database Analytics 2026 VLDB 4.9793485e-05
10,856 How Much Can RocksDB Chew? Achieving Near-Zero Write Stalls with Sustainable RocksDB 2026 VLDB 4.9793485e-05
10,887 MFTune: An Efficient Multi-fidelity Framework for Spark SQL Configuration Tuning 2026 VLDB 4.9793485e-05
10,908 DBAgent: An RL-Based Agent for Autonomous Database Operations and Maintenance 2026 VLDB 4.9793485e-05
10,912 Tuning the Lookahead Distance for PostgreSQL Asynchronous IO 2026 VLDB 4.9793485e-05
10,918 Evaluating the Practical Effectiveness of LLM-Driven Index Tuning on Microsoft SQL Server 2026 VLDB 4.9793485e-05
11,046 DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning 2026 VLDB 4.9793485e-05
11,072 Libra: One-Shot Parameter Sensitivity Estimation for Transfer Learning in Database Performance Prediction 2026 VLDB 4.9793485e-05
11,077 Generic Version Control: Configurable Versioning for Application-Specific Requirements 2025 CIDR 4.9793485e-05
11,103 Centrum: Model-based Database Auto-tuning with Minimal Distributional Assumptions 2025 SIGMOD 4.9793485e-05
11,139 Automated Database Tuning vs. Human-Based Tuning in a Simulated Stressful Work Environment: A Demonstration of the Database Gym 2025 SIGMOD 4.9793485e-05
11,207 High-Throughput Ingestion for Video Warehouse: Comprehensive Configuration and Effective Exploration 2025 SIGMOD 4.9793485e-05
11,287 AQETuner: Reliable Query-level Configuration Tuning for Analytical Query Engines 2025 VLDB 4.9793485e-05
11,430 AXE: A Task Decomposition Approach to Learned LSM Tuning 2025 VLDB 4.9793485e-05
11,433 CloudGlide: Deconstructing the Landscape of Cloud-Based Analytics 2025 VLDB 4.9793485e-05
11,447 LASER: Buffer-Aware Learned Query Scheduling in Master-Standby Databases 2025 VLDB 4.9793485e-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.

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