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AI Meets Database: AI4DB and DB4AI

Summary: Survey of AI4DB and DB4AI, unifying AI-augmented databases with DB-backed AI deployment. Covers learning-based DB configuration/optimization/design/monitoring/security (AI4DB) and AI-oriented declarative language, data governance, training/inference acceleration (DB4AI); highlights key challenges and directions. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h1d5bb98d0c86a7e6
Venue
SIGMOD
Year
2021
Pagerank
7.855786e-05
Overall Rank
2,913 | 80.48%
DOI
10.1145/3448016.3457542

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{li_sigmod21,
        title = {{AI Meets Database: AI4DB and DB4AI}},
        author = {Li, Guoliang and Zhou, Xuanhe and Cao, Lei},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3457542},
        url = {https://dl.acm.org/doi/10.1145/3448016.3457542},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 31 of 31 citing papers.

Rank Citing Paper Year Venue Pagerank
2,348 Learned Cardinality Estimation: An In-depth Study 2022 SIGMOD 8.5910072e-05
2,389 A Learned Query Rewrite System using Monte Carlo Tree Search 2022 VLDB 8.5228689e-05
2,523 Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation 2022 VLDB 8.3316032e-05
3,242 Opportunities for Quantum Acceleration of Databases: Optimization of Queries and Transaction Schedules 2023 VLDB 7.4811797e-05
3,632 Learned Index: A Comprehensive Experimental Evaluation 2023 VLDB 7.1274345e-05
3,687 openGauss: An Autonomous Database System 2021 VLDB 7.0797286e-05
3,740 FACE: A Normalizing Flow based Cardinality Estimator 2022 VLDB 7.0398782e-05
3,783 HTAP Databases: What is New and What is Next 2022 SIGMOD 7.0016354e-05
4,247 LEON: A New Framework for ML-Aided Query Optimization 2023 VLDB 6.6920059e-05
4,464 From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management 2022 VLDB 6.5747093e-05
4,508 LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning 2022 SIGMOD 6.5553854e-05
4,765 Machine Learning for Databases 2021 VLDB 6.4166895e-05
4,910 Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving 2025 SIGMOD 6.3468554e-05
5,713 PilotScope: Steering Databases with Machine Learning Drivers 2024 VLDB 6.0090633e-05
6,646 Join Order Selection with Deep Reinforcement Learning: Fundamentals, Techniques, and Challenges 2023 VLDB 5.7053761e-05
6,849 SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement 2024 SIGMOD 5.6488938e-05
7,517 DBMind: A Self-Driving Platform in openGauss 2021 VLDB 5.4895762e-05
8,068 Cloud Databases: New Techniques, Challenges, and Opportunities 2022 VLDB 5.3809781e-05
8,219 WISK: A Workload-aware Learned Index for Spatial Keyword Queries 2023 SIGMOD 5.359172e-05
8,225 Grep: A Graph Learning Based Database Partitioning System 2023 SIGMOD 5.3583852e-05
8,825 PACE: Poisoning Attacks on Learned Cardinality Estimation 2024 SIGMOD 5.2543246e-05
8,908 Spatial Query Optimization With Learning 2024 VLDB 5.2369727e-05
9,213 FEBench: A Benchmark for Real-Time Relational Data Feature Extraction 2023 VLDB 5.1926696e-05
9,596 LeaFi: Data Series Indexes on Steroids with Learned Filters 2025 SIGMOD 5.1376962e-05
9,756 APQO: An Adaptive Framework for Parametric Query Optimization 2026 SIGMOD 5.115551e-05
10,184 Does A Fish Need a Bicycle? The Case for On-Chip NPUs in DBMS 2026 CIDR 5.052396e-05
10,680 MorphingDB: A Task-Centric AI-Native DBMS for Model Management and Inference 2026 SIGMOD 4.9605343e-05
11,301 FB+-tree: A Memory-Optimized B+-tree with Latch-Free Update 2025 VLDB 4.9605343e-05
11,484 Learned Cost Models for Query Optimization: From Batch to Streaming Systems 2025 VLDB 4.9605343e-05
11,671 Native Distributed Databases: Problems, Challenges and Opportunities 2024 VLDB 4.9605343e-05
11,965 Machine Programming: Turning Data into Programmer Productivity 2022 VLDB 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 48 of 48 cited papers.

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

Rank Cited Paper Year Venue Pagerank
40 The Case for Learned Index Structures 2018 SIGMOD 0.00046249672
74 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00037164008
105 The MADlib Analytics Library or MAD Skills, the SQL 2012 VLDB 0.00033605348
142 Neo: A Learned Query Optimizer 2019 VLDB 0.00029114937
224 Self-Driving Database Management Systems 2017 CIDR 0.00023973185
309 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.0002143249
367 InfoGather: Entity Augmentation and Attribute Discovery By Holistic Matching with Web Tables 2012 SIGMOD 0.00019882429
405 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.00019020138
411 QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning 2019 VLDB 0.0001874043
415 SystemML: Declarative Machine Learning on Spark 2016 VLDB 0.00018619173
427 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00018429918
453 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.0001801482
458 Query-based Workload Forecasting for Self-Driving Database Management Systems 2018 SIGMOD 0.00017870238
460 ActiveClean: Interactive Data Cleaning For Statistical Modeling 2016 VLDB 0.00017836918
512 Goods: Organizing Google's Datasets 2016 SIGMOD 0.00017036842
538 MLbase: A Distributed Machine-learning System 2013 CIDR 0.00016725463
545 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.0001657599
550 SageDB: A Learned Database System 2019 CIDR 0.00016525249
586 Workload-Aware Database Monitoring and Consolidation 2011 SIGMOD 0.00015905357
656 Materialization Optimizations for Feature Selection Workloads 2014 SIGMOD 0.00015052106
690 Selectivity Estimation for Range Predicates using Lightweight Models 2019 VLDB 0.00014703258
783 To Join or Not to Join? Thinking Twice about Joins before Feature Selection 2016 SIGMOD 0.00014015599
870 Learning Multi-dimensional Indexes 2020 SIGMOD 0.0001332034
1,041 ARDA: Automatic Relational Data Augmentation for Machine Learning 2020 VLDB 0.00012334538
1,058 Automated Demand-driven Resource Scaling in Relational Database-as-a-Service 2016 SIGMOD 0.00012225863
1,156 QuickSel: Quick Selectivity Learning with Mixture Models 2020 SIGMOD 0.00011759683
1,157 P-Store: An Elastic Database System with Predictive Provisioning 2018 SIGMOD 0.00011748784
1,226 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011432354
1,400 Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms 2020 VLDB 0.00010759064
1,436 Towards a Learning Optimizer for Shared Clouds 2019 VLDB 0.00010658836
1,609 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning 2019 SIGMOD 0.0001007196
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
2,290 Active Learning for ML Enhanced Database Systems 2020 SIGMOD 8.6813363e-05
2,481 Learning a Partitioning Advisor for Cloud Databases 2020 SIGMOD 8.3862675e-05
2,768 Query Performance Prediction for Concurrent Queries using Graph Embedding 2020 VLDB 8.0199086e-05
3,028 Truth Inference in Crowdsourcing: Is the Problem Solved? 2017 VLDB 7.7177453e-05
3,724 Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype? 2015 SIGMOD 7.0482307e-05
3,746 In-RDBMS Hardware Acceleration of Advanced Analytics 2018 VLDB 7.0369561e-05
4,505 SPORES: Sum-Product Optimization via Relational Equality Saturation for Large Scale Linear Algebra 2020 VLDB 6.5561966e-05
5,979 Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems 2019 VLDB 5.910201e-05
6,095 From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems 2019 SIGMOD 5.8706416e-05
6,259 ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation 2019 VLDB 5.815406e-05
6,404 Human-in-the-loop Data Integration 2017 VLDB 5.7797097e-05
8,878 Machine Learning Meets Big Spatial Data 2019 VLDB 5.2449044e-05
10,199 Thoth in Action: Memory Management in Modern Data Analytics 2017 VLDB 5.0498046e-05
10,200 Rheem: Enabling Multi-Platform Task Execution 2016 SIGMOD 5.0498046e-05
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