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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 39 of 89 citing papers.

Rank Citing Paper Year Venue Pagerank
6,163 A Critical Analysis of Recursive Model Indexes 2022 VLDB 5.9532723e-05
6,651 Progressive Indexes: Indexing for Interactive Data Analysis 2019 VLDB 5.8141997e-05
6,665 MorphStore: Analytical Query Engine with a Holistic Compression-Enabled Processing Model 2020 VLDB 5.8089595e-05
6,782 Everything is a Transaction: Unifying Logical Concurrency Control and Physical Data Structure Maintenance in Database Management Systems 2021 CIDR 5.7762362e-05
6,843 Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads 2023 SIGMOD 5.7573899e-05
6,939 Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities 2022 SIGMOD 5.7338637e-05
7,012 Adaptive Hybrid Indexes 2022 SIGMOD 5.7262686e-05
7,046 NVM: Is it Not Very Meaningful for Databases? 2023 VLDB 5.7185159e-05
7,580 Sibyl: Forecasting Time-Evolving Query Workloads 2024 SIGMOD 5.5925285e-05
7,589 Cost-Intelligent Data Analytics in the Cloud 2024 CIDR 5.5907048e-05
7,755 Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD 2024 VLDB 5.5519655e-05
7,757 CAMAL: Optimizing LSM-trees via Active Learning 2024 SIGMOD 5.5508469e-05
7,765 An Analysis of Concurrency Control Protocols for In-Memory Databases with CCBench 2020 VLDB 5.5499187e-05
7,785 Tastes Great! Less Filling! High Performance and Accurate Training Data Collection for Self-Driving Database Management Systems 2022 SIGMOD 5.5450355e-05
7,846 The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions 2024 VLDB 5.5331459e-05
7,920 Dendrite: Bolt-on Adaptivity for Data Systems 2021 SIGMOD 5.5181056e-05
8,099 Index Checkpoints for Instant Recovery in In-Memory Database Systems 2022 VLDB 5.4873906e-05
8,127 The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that “Read the Manual” 2021 VLDB 5.4826853e-05
8,193 Towards Building Autonomous Data Services on Azure 2023 SIGMOD 5.4696038e-05
8,221 NeurDB: On the Design and Implementation of an AI-powered Autonomous Database 2025 CIDR 5.4640314e-05
8,375 Serverless State Management Systems 2024 CIDR 5.4391978e-05
8,583 Query Log Compression for Workload Analytics 2019 VLDB 5.4079618e-05
8,636 Adaptive Code Generation for Data-Intensive Analytics 2021 VLDB 5.3954959e-05
8,669 Demonstrating DB-BERT: A Database Tuning Tool that "Reads" the Manual 2022 SIGMOD 5.3879261e-05
8,984 Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems 2024 VLDB 5.3395569e-05
9,008 Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning 2023 SIGMOD 5.3335632e-05
9,536 Database Gyms 2023 CIDR 5.2529727e-05
9,654 Automating the Enterprise with Foundation Models 2024 VLDB 5.2422003e-05
10,058 TiQuE: Improving the Transactional Performance of Analytical Systems for True Hybrid Workloads 2023 VLDB 5.1664022e-05
10,066 Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes 2023 VLDB 5.1643809e-05
10,506 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 5.093636e-05
10,706 Automated Database Tuning vs. Human-Based Tuning in a Simulated Stressful Work Environment: A Demonstration of the Database Gym 2025 SIGMOD 5.093636e-05
11,001 veDB-HTAP: a Highly Integrated, Efficient and Adaptive HTAP System 2025 VLDB 5.093636e-05
11,003 Automatic Indexing in Oracle 2025 VLDB 5.093636e-05
11,150 Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless 2024 SIGMOD 5.093636e-05
11,436 AdaChain: A Learned Adaptive Blockchain 2023 VLDB 5.093636e-05
11,548 DeepO: A Learned Query Optimizer 2022 SIGMOD 5.093636e-05
11,613 Budget-Conscious Fine-Grained Configuration Optimization for Spatio-Temporal Applications 2022 VLDB 5.093636e-05
11,829 Automated Performance Management for the Big Data Stack 2019 CIDR 5.093636e-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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