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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
0.00037164008
Overall Rank
74 | 99.51%
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 157 citing papers.

Rank Citing Paper Year Venue Pagerank
84 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035920657
309 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.0002143249
411 QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning 2019 VLDB 0.0001874043
550 SageDB: A Learned Database System 2019 CIDR 0.00016525249
1,132 Qd-tree: Learning Data Layouts for Big Data Analytics 2020 SIGMOD 0.00011873466
1,156 QuickSel: Quick Selectivity Learning with Mixture Models 2020 SIGMOD 0.00011759683
1,238 DB-BERT: A Database Tuning Tool that "Reads the Manual" 2022 SIGMOD 0.00011375179
1,282 AI Meets AI: Leveraging Query Executions to Improve Index Recommendations 2019 SIGMOD 0.00011197535
1,294 An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems 2021 VLDB 0.00011129451
1,436 Towards a Learning Optimizer for Shared Clouds 2019 VLDB 0.00010658836
1,509 Cloud-Native Database Systems at Alibaba: Opportunities and Challenges 2019 VLDB 0.00010415166
1,529 Updatable Learned Index with Precise Positions 2021 VLDB 0.00010320909
1,611 The Data Calculator*: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models 2018 SIGMOD 0.00010066379
1,700 Black or White? How to Develop an AutoTuner for Memory-based Analytics 2020 SIGMOD 9.8224761e-05
1,771 Diagnosing Root Causes of Intermittent Slow Queries in Cloud Databases 2020 VLDB 9.6775181e-05
1,900 Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn 2019 CIDR 9.3926585e-05
2,009 FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation 2021 VLDB 9.1813272e-05
2,227 GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization 2024 VLDB 8.7924681e-05
2,290 Active Learning for ML Enhanced Database Systems 2020 SIGMOD 8.6813363e-05
2,572 ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases 2021 SIGMOD 8.2581875e-05
2,584 Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation 2021 VLDB 8.2435322e-05
2,772 Instance-Optimized Data Layouts for Cloud Analytics Workloads 2021 SIGMOD 8.0148928e-05
2,779 Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation 2022 VLDB 8.0085666e-05
2,891 Optimal Column Layout for Hybrid Workloads 2019 VLDB 7.887378e-05
2,913 AI Meets Database: AI4DB and DB4AI 2021 SIGMOD 7.855786e-05
2,929 iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases 2019 VLDB 7.830745e-05
2,995 Panda: Performance Debugging for Databases using LLM Agents 2024 CIDR 7.7556154e-05
3,037 Autoscaling Tiered Cloud Storage in Anna 2019 VLDB 7.7086155e-05
3,057 LlamaTune: Sample-Efficient DBMS Configuration Tuning 2022 VLDB 7.6865211e-05
3,172 CGPTuner: a Contextual Gaussian Process Bandit Approach for the Automatic Tuning of IT Configurations Under Varying Workload Conditions 2021 VLDB 7.5556865e-05
3,328 Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift 2023 SIGMOD 7.4094448e-05
3,408 Native Store Extension for SAP HANA 2019 VLDB 7.3093844e-05
3,443 A Demonstration of the OtterTune Automatic Database Management System Tuning Service 2018 VLDB 7.2781031e-05
3,486 HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements 2022 SIGMOD 7.2428834e-05
3,489 Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine 2022 VLDB 7.2421958e-05
3,528 A Comparative Evaluation of Systems for Scalable Linear Algebra-based Analytics 2018 VLDB 7.2134232e-05
3,532 Key-Value Storage Engines 2020 SIGMOD 7.2054521e-05
3,575 Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation 2021 VLDB 7.1769215e-05
3,643 VISTA: Optimized System for Declarative Feature Transfer from Deep CNNs at Scale 2020 SIGMOD 7.1227166e-05
3,679 Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines 2020 VLDB 7.0849238e-05
3,687 openGauss: An Autonomous Database System 2021 VLDB 7.0797286e-05
3,839 Automatic Database Configuration Debugging using Retrieval-Augmented Language Models 2025 SIGMOD 6.9704205e-05
3,951 Deploying a Steered Query Optimizer in Production at Microsoft 2022 SIGMOD 6.8884038e-05
3,959 MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems 2021 SIGMOD 6.8804723e-05
4,101 Towards Dynamic and Safe Configuration Tuning for Cloud Databases 2022 SIGMOD 6.7930727e-05
4,343 Intelligent Scaling in Amazon Redshift 2024 SIGMOD 6.6397106e-05
4,479 Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process 2022 SIGMOD 6.5665703e-05
4,621 The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures 2022 SIGMOD 6.4828493e-05
4,765 Machine Learning for Databases 2021 VLDB 6.4166895e-05
4,792 Learned Approximate Query Processing: Make it Light, Accurate and Fast 2021 CIDR 6.4010108e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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