DBScholar

Back to papers

Machine Learning for Databases

Summary: Tutorial on ML-driven database optimization, spanning NP-hard search, regression (cost/cardinality and benefit estimation), and workload prediction tasks. Reviews techniques for cloud-scale tuning, plan selection, physical design, and forecasting, and identifies open challenges. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h18d7d0321267f00b
Venue
VLDB
Year
2021
Pagerank
6.4410027e-05
Overall Rank
4,741 | 68.13%
DOI
10.14778/3476311.3476405

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{li_vldb21,
        title = {{Machine Learning for Databases}},
        author = {Li, Guoliang and Zhou, Xuanhe and Cao, Lei},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {12},
        pages = {3190--3193},
        doi = {10.14778/3476311.3476405},
        url = {https://doi.org/10.14778/3476311.3476405},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 15 of 15 citing papers.

Rank Citing Paper Year Venue Pagerank
2,395 A Learned Query Rewrite System using Monte Carlo Tree Search 2022 VLDB 8.5281914e-05
2,522 Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation 2022 VLDB 8.3477168e-05
3,682 openGauss: An Autonomous Database System 2021 VLDB 7.1013922e-05
3,741 FACE: A Normalizing Flow based Cardinality Estimator 2022 VLDB 7.0594076e-05
4,442 From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management 2022 VLDB 6.5988336e-05
4,482 LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning 2022 SIGMOD 6.5802486e-05
5,149 LLM for Data Management 2024 VLDB 6.2551644e-05
6,632 Join Order Selection with Deep Reinforcement Learning: Fundamentals, Techniques, and Challenges 2023 VLDB 5.7270153e-05
6,726 A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning 2023 SIGMOD 5.6948731e-05
8,047 Cloud Databases: New Techniques, Challenges, and Opportunities 2022 VLDB 5.4006048e-05
8,636 PBench: Workload Synthesizer with Real Statistics for Cloud Analytics Benchmarking 2025 VLDB 5.2981619e-05
10,641 ESTune: Bayesian Uncertainty-Guided Early Stopping for Database Configuration Tuning 2026 SIGMOD 4.9793485e-05
10,926 Benchmarking Native In-Database TPCx-AI at 100 Terabytes in Ocient Hyperscale Data Warehouse: An Eight-Use-Case Study of Classical and Statistical ML on Relational Primitives 2026 VLDB 4.9793485e-05
11,425 Learned Cost Models for Query Optimization: From Batch to Streaming Systems 2025 VLDB 4.9793485e-05
11,915 Machine Programming: Turning Data into Programmer Productivity 2022 VLDB 4.9793485e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 35 of 35 cited papers.

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

Rank Cited Paper Year Venue Pagerank
78 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00036684414
85 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035864347
145 Neo: A Learned Query Optimizer 2019 VLDB 0.0002908188
314 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.00021282642
318 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00021167555
406 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.00019045544
430 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00018409112
437 QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning 2019 VLDB 0.00018315867
460 Query-based Workload Forecasting for Self-Driving Database Management Systems 2018 SIGMOD 0.00017842695
461 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.00017829982
560 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.00016403151
692 Selectivity Estimation for Range Predicates using Lightweight Models 2019 VLDB 0.00014741011
868 Learning Multi-dimensional Indexes 2020 SIGMOD 0.00013354403
1,067 Automated Demand-driven Resource Scaling in Relational Database-as-a-Service 2016 SIGMOD 0.0001219157
1,156 QuickSel: Quick Selectivity Learning with Mixture Models 2020 SIGMOD 0.00011777105
1,279 AI Meets AI: Leveraging Query Executions to Improve Index Recommendations 2019 SIGMOD 0.00011226878
1,289 An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems 2021 VLDB 0.00011162479
1,397 Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms 2020 VLDB 0.00010789242
1,580 Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries 2020 SIGMOD 0.00010180835
1,603 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning 2019 SIGMOD 0.00010097649
1,699 Black or White? How to Develop an AutoTuner for Memory-based Analytics 2020 SIGMOD 9.8445322e-05
1,889 Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn 2019 CIDR 9.4273689e-05
2,275 Active Learning for ML Enhanced Database Systems 2020 SIGMOD 8.7090584e-05
2,478 Learning a Partitioning Advisor for Cloud Databases 2020 SIGMOD 8.4079121e-05
2,720 ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases 2021 SIGMOD 8.0966919e-05
2,842 Query Performance Prediction for Concurrent Queries using Graph Embedding 2020 VLDB 7.949193e-05
2,908 AI Meets Database: AI4DB and DB4AI 2021 SIGMOD 7.8742664e-05
3,032 iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases 2019 VLDB 7.7351139e-05
3,052 A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation 2021 SIGMOD 7.7052471e-05
3,682 openGauss: An Autonomous Database System 2021 VLDB 7.1013922e-05
3,716 Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype? 2015 SIGMOD 7.0726435e-05
3,978 Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload 2021 SIGMOD 6.8807882e-05
4,688 Learned Cardinality Estimation for Similarity Queries 2021 SIGMOD 6.4697463e-05
7,492 DBMind: A Self-Driving Platform in openGauss 2021 VLDB 5.510397e-05
8,847 Machine Learning Meets Big Spatial Data 2019 VLDB 5.2646682e-05
Previous Page 1 / 1 Next

Semantically Similar Papers

# Overall Rank Paper Year Venue
1 1,580 Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries 2020 SIGMOD
2 3,716 Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype? 2015 SIGMOD
3 9,333 Deep Query Optimization 2019 SIGMOD
4 6,416 A Unified Transferable Model for ML-Enhanced DBMS 2022 CIDR
5 8,879 Spatial Query Optimization With Learning 2024 VLDB
6 5,683 How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks 2025 SIGMOD
7 2,908 AI Meets Database: AI4DB and DB4AI 2021 SIGMOD
8 3,060 Towards a Hands-Free Query Optimizer through Deep Learning 2019 CIDR
9 4,711 Learned Index Benefits: Machine Learning Based Index Performance Estimation 2022 VLDB
10 9,073 Machine Learning for Graph Data Management and Query Processing 2025 VLDB