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Self-Driving Database Management Systems

Summary: Introduces Peloton, the first self-driving DBMS that replaces human-in-the-loop tuning with a unified planning component that autonomously controls physical design and runtime knobs. Uses workload prediction (deep learning), modern hardware, and adaptive architectures to enable proactive, integrated optimizations beyond prior advisory tools. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
300
Venue
CIDR
Year
2017
Pagerank
0.00023810722
Overall Rank
234 | 98.40%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{pavlo_cidr17,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '17},
        title = {{Self-Driving Database Management Systems}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Pavlo, Andrew and Angulo, Gustavo and Arulraj, Joy and Lin, Haibin and Lin, Jiexi and Ma, Lin and Menon, Prashanth and Mowry, Todd C. and Perron, Matthew and Quah, Ian and Santurkar, Siddharth and Tomasic, Anthony and Toor, Skye and Van Aken, Dana and Wang, Ziqi and Wu, Yingjun and Xian, Ran and Zhang, Tieying},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 50 of 89 citing papers.

Rank Citing Paper Year Venue Pagerank
208 CockroachDB: The Resilient Geo-Distributed SQL Database 2020 SIGMOD 0.00024968157
271 TiDB: A Raft-based HTAP Database 2020 VLDB 0.00022703024
334 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.00020875082
378 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00019638121
461 Query-based Workload Forecasting for Self-Driving Database Management Systems 2018 SIGMOD 0.00018068441
563 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.0001650812
1,224 Dhalion: Self-Regulating Stream Processing in Heron 2017 VLDB 0.00011596911
1,250 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011485301
1,279 AI Meets AI: Leveraging Query Executions to Improve Index Recommendations 2019 SIGMOD 0.00011361878
1,312 Hybrid Transactional/Analytical Processing: A Survey 2017 SIGMOD 0.00011193166
1,337 DB-BERT: A Database Tuning Tool that "Reads the Manual" 2022 SIGMOD 0.00011117488
1,548 Automatically Indexing Millions of Databases in Microsoft Azure SQL Database 2019 SIGMOD 0.00010392475
1,551 Updatable Learned Index with Precise Positions 2021 VLDB 0.00010381398
1,559 Cloud-Native Database Systems at Alibaba: Opportunities and Challenges 2019 VLDB 0.00010362456
1,757 Velox: Meta's Unified Execution Engine 2022 VLDB 9.8166984e-05
1,815 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning 2018 VLDB 9.6894541e-05
1,942 Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn 2019 CIDR 9.4451535e-05
2,000 Data Management for Data Science: Towards Embedded Analytics 2020 CIDR 9.3336258e-05
2,213 Designing Succinct Secondary Indexing Mechanism by Exploiting Column Correlations 2019 SIGMOD 8.9410226e-05
2,226 Moneyball: Proactive Auto-Scaling in Microsoft Azure SQL Database Serverless 2022 VLDB 8.9174082e-05
2,298 GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization 2024 VLDB 8.7886538e-05
2,313 Active Learning for ML Enhanced Database Systems 2020 SIGMOD 8.762627e-05
2,384 DeepLens: Towards a Visual Data Management System 2019 CIDR 8.6494525e-05
2,499 Learning a Partitioning Advisor for Cloud Databases 2020 SIGMOD 8.4993549e-05
2,866 Optimal Column Layout for Hybrid Workloads 2019 VLDB 8.0175489e-05
2,888 AI Meets Database: AI4DB and DB4AI 2021 SIGMOD 7.9941489e-05
2,918 OceanBase: A 707 Million tpmC Distributed Relational Database System 2022 VLDB 7.9649716e-05
3,051 Towards a Hands-Free Query Optimizer through Deep Learning 2019 CIDR 7.8121919e-05
3,205 On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML 2018 VLDB 7.6386536e-05
3,219 iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases 2019 VLDB 7.6283153e-05
3,320 Autoscaling Tiered Cloud Storage in Anna 2019 VLDB 7.5223482e-05
3,346 CGPTuner: a Contextual Gaussian Process Bandit Approach for the Automatic Tuning of IT Configurations Under Varying Workload Conditions 2021 VLDB 7.4967834e-05
3,455 How to Build a Non-Volatile Memory Database Management System 2017 SIGMOD 7.4000022e-05
3,577 Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine 2022 VLDB 7.2930211e-05
3,586 Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation 2021 VLDB 7.2834069e-05
3,662 openGauss: An Autonomous Database System 2021 VLDB 7.2166682e-05
3,802 Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines 2020 VLDB 7.1115502e-05
3,809 Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift 2023 SIGMOD 7.1074195e-05
3,961 MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems 2021 SIGMOD 6.987575e-05
3,998 Deploying a Steered Query Optimizer in Production at Microsoft 2022 SIGMOD 6.9676473e-05
4,053 Database-Agnostic Workload Management 2019 CIDR 6.9355341e-05
4,398 Real-time Workload Pattern Analysis for Large-scale Cloud Databases 2023 VLDB 6.7248611e-05
5,023 DBPA: A Benchmark for Transactional Database Performance Anomalies 2023 SIGMOD 6.3979497e-05
5,024 Fast Failure Recovery for Main-Memory DBMSs on Multicores 2017 SIGMOD 6.3977285e-05
5,155 ByteHTAP: ByteDance’s HTAP System with High Data Freshness and Strong Data Consistency 2022 VLDB 6.3420293e-05
5,558 HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning 2023 VLDB 6.1749098e-05
5,766 Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty 2022 VLDB 6.094771e-05
5,974 Towards instance-optimized data systems 2021 VLDB 6.0230488e-05
6,045 Helios: Hyperscale Indexing for the Cloud & Edge 2020 VLDB 5.9957544e-05
6,139 Toward a Better Understanding and Evaluation of Tree Structures on Flash SSDs 2021 VLDB 5.9638351e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 20 of 20 cited papers.

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

Rank Cited Paper Year Venue Pagerank
87 Automated Selection of Materialized Views and Indexes for SQL Databases 2000 VLDB 0.00035281619
156 An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server 1997 VLDB 0.00028636811
184 DB2 Design Advisor: Integrated Automatic Physical Database Design 2004 VLDB 0.00026256101
199 Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design 2004 SIGMOD 0.00025612088
246 Automating Physical Database Design in a Parallel Database 2002 SIGMOD 0.00023457421
259 Database Cracking 2007 CIDR 0.00023119313
347 Tuning Database Configuration Parameters with iTuned 2009 VLDB 0.00020651582
387 AutoAdmin "What-if" Index Analysis Utility 1998 SIGMOD 0.00019442332
523 Adaptive Self-Tuning Memory in DB2 2006 VLDB 0.00017133451
584 Workload-Aware Database Monitoring and Consolidation 2011 SIGMOD 0.00016139925
600 Rethinking Database System Architecture: Towards a Self-tuning RISC-style Database System 2000 VLDB 0.00015871387
625 Automatic Performance Diagnosis and Tuning in Oracle 2005 CIDR 0.0001566968
781 Self-tuning Database Technology and Information Services: from Wishful Thinking to Viable Engineering 2002 VLDB 0.00014085674
798 DBSherlock: A Performance Diagnostic Tool for Transactional Databases 2016 SIGMOD 0.00013919795
861 Automatic Virtual Machine Configuration for Database Workloads 2008 SIGMOD 0.00013543212
1,092 Automated Demand-driven Resource Scaling in Relational Database-as-a-Service 2016 SIGMOD 0.00012221946
1,199 Bridging the Archipelago between Row-Stores and Column-Stores for Hybrid Workloads 2016 SIGMOD 0.00011703966
1,367 H2O: A Hands-free Adaptive Store 2014 SIGMOD 0.00011014419
1,831 On Predictive Modeling for Optimizing Transaction Execution in Parallel OLTP Systems 2012 VLDB 9.6635729e-05
1,931 Performance and Resource Modeling in Highly-Concurrent OLTP Workloads 2013 SIGMOD 9.4664741e-05
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