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DeepDB: Learn from Data, not from Queries!

Summary: Data-driven learned DBMS components bypass workload-driven training, enabling changes in workload or data without retraining. Empirically higher accuracy and better generalization to unseen queries than state-of-the-art learned components. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12289
Venue
VLDB
Year
2020
Pagerank
0.00019235898
Overall Rank
608 | 95.78%
DOI
10.14778/3384345.3384349

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 50 of 121 citing papers.

Rank Citing Paper Year Venue Pagerank
910 NeuroCard: One Cardinality Estimator for All Tables 2021 VLDB 0.00015423056
1,638 Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation 2022 VLDB 0.00011049779
1,703 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00010836769
2,121 Balsa: Learning a Query Optimizer Without Expert Demonstrations 2022 SIGMOD 9.5017232e-05
2,364 Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries 2020 SIGMOD 8.9554751e-05
2,762 FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation 2021 VLDB 8.1585394e-05
2,783 Flow-Loss: Learning Cardinality Estimates That Matter 2021 VLDB 8.1293383e-05
3,131 FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems 2022 VLDB 7.4985793e-05
3,266 Learned Cardinality Estimation: An In-depth Study 2022 SIGMOD 7.3074684e-05
3,348 Lero: A Learning-to-Rank Query Optimizer 2023 VLDB 7.1904529e-05
3,449 Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation 2022 VLDB 7.0824319e-05
3,499 Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation 2021 VLDB 7.0376445e-05
3,727 Cost-based or Learning-based? A Hybrid Query Optimizer for Query Plan Selection 2022 VLDB 6.8141709e-05
3,778 A Learned Sketch for Subgraph Counting 2021 SIGMOD 6.7747398e-05
3,828 Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction 2022 VLDB 6.7208524e-05
3,924 A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation 2021 SIGMOD 6.6271553e-05
3,954 Efficiently Approximating Selectivity Functions using Low Overhead Regression Models 2020 VLDB 6.5926838e-05
3,990 FactorJoin: A New Cardinality Estimation Framework for Join Queries 2023 SIGMOD 6.5581983e-05
4,152 openGauss: An Autonomous Database System 2021 VLDB 6.4060406e-05
4,359 Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning 2021 VLDB 6.2569955e-05
4,417 Robust Query Driven Cardinality Estimation under Changing Workloads 2023 VLDB 6.2037371e-05
4,434 Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process 2022 SIGMOD 6.1929999e-05
4,543 FACE: A Normalizing Flow based Cardinality Estimator 2022 VLDB 6.1011198e-05
4,590 MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems 2021 SIGMOD 6.0620053e-05
4,842 Towards Dynamic and Safe Configuration Tuning for Cloud Databases 2022 SIGMOD 5.8826802e-05
5,072 Optimizing Machine Learning Inference Queries with Correlative Proxy Models 2022 VLDB 5.7185674e-05
5,258 One Model to Rule them All: Towards Zero-Shot Learning for Databases 2022 CIDR 5.5998705e-05
5,401 ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads 2024 VLDB 5.5285035e-05
5,640 AutoSteer: Learned Query Optimization for Any SQL Database 2023 VLDB 5.3933314e-05
5,645 Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts 2022 SIGMOD 5.3923454e-05
5,832 Stage: Query Execution Time Prediction in Amazon Redshift 2024 SIGMOD 5.3111109e-05
5,861 Machine Learning for Databases 2021 VLDB 5.298883e-05
5,942 SAM: Database Generation from Query Workloads with Supervised Autoregressive Models 2022 SIGMOD 5.2634242e-05
5,951 PGMJoins: Random Join Sampling with Graphical Models 2021 SIGMOD 5.2592385e-05
5,952 Eraser: Eliminating Performance Regression on Learned Query Optimizer 2024 VLDB 5.2591691e-05
5,972 SafeBound: A Practical System for Generating Cardinality Bounds 2023 SIGMOD 5.2474768e-05
6,230 Learned Approximate Query Processing: Make it Light, Accurate and Fast 2021 CIDR 5.145989e-05
6,368 Pre-training Summarization Models of Structured Datasets for Cardinality Estimation 2022 VLDB 5.0937722e-05
6,383 Sample-Efficient Cardinality Estimation Using Geometric Deep Learning 2024 VLDB 5.0884322e-05
6,492 FILM: a Fully Learned Index for Larger-than-Memory Databases 2023 VLDB 5.042727e-05
6,519 Expand your Training Limits! Generating Training Data for ML-based Data Management 2021 SIGMOD 5.0316686e-05
6,685 How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks 2025 SIGMOD 4.9627485e-05
6,714 Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks 2024 SIGMOD 4.9512171e-05
6,724 A Critical Analysis of Recursive Model Indexes 2022 VLDB 4.9484506e-05
6,740 Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing 2021 SIGMOD 4.944395e-05
6,775 A Unified Transferable Model for ML-Enhanced DBMS 2022 CIDR 4.9299192e-05
6,879 Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data 2023 SIGMOD 4.8971368e-05
6,885 PilotScope: Steering Databases with Machine Learning Drivers 2024 VLDB 4.895386e-05
6,969 LpBound: Pessimistic Cardinality Estimation using ℓp-Norms of Degree Sequences 2025 SIGMOD 4.8799937e-05
7,008 Is Your Learned Query Optimizer Behaving As You Expect? A Machine Learning Perspective 2024 VLDB 4.8643538e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 25 of 25 cited papers.

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

Rank Cited Paper Year Venue Pagerank
71 How Good Are Query Optimizers, Really? 2016 VLDB 0.00059038975
102 The Case for Learned Index Structures 2018 SIGMOD 0.00049545203
204 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00034784455
333 Neo: A Learned Query Optimizer 2019 VLDB 0.00027206884
372 Selectivity Estimation using Probabilistic Models 2001 SIGMOD 0.00025354779
405 Approximate Query Processing Using Wavelets 2000 VLDB 0.00024057494
758 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.0001706608
806 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.00016434274
943 Wander Join: Online Aggregation via Random Walks 2016 SIGMOD 0.00015145883
980 BayesStore: Managing Large, Uncertain Data Repositories with Probabilistic Graphical Models 2008 VLDB 0.00014879747
1,105 Cardinality Estimation Done Right: Index-Based Join Sampling 2017 CIDR 0.00013990395
1,204 VerdictDB: Universalizing Approximate Query Processing 2018 SIGMOD 0.00013319541
1,254 Selectivity Estimation for Range Predicates using Lightweight Models 2019 VLDB 0.00013027411
1,569 Querying Continuous Functions in a Database System 2008 SIGMOD 0.0001132337
2,083 Towards a Learning Optimizer for Shared Clouds 2019 VLDB 9.5834572e-05
2,129 IDEBench: A Benchmark for Interactive Data Exploration 2020 SIGMOD 9.480002e-05
2,501 DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models 2019 SIGMOD 8.6453446e-05
2,588 Database Learning: Toward a Database that Becomes Smarter Every Time 2017 SIGMOD 8.4909562e-05
2,669 A Black-Box Approach to Query Cardinality Estimation 2007 CIDR 8.3389856e-05
2,841 Selectivity Estimation in Extensible Databases - A Neural Network Approach 1998 VLDB 8.0287389e-05
2,865 Designing Succinct Secondary Indexing Mechanism by Exploiting Column Correlations 2019 SIGMOD 7.9862595e-05
4,164 SlimShot: In-Database Probabilistic Inference for Knowledge Bases 2016 VLDB 6.3923099e-05
5,266 Probabilistic Databases with MarkoViews 2012 VLDB 5.5972559e-05
7,434 Local Structure and Determinism in Probabilistic Databases 2012 SIGMOD 4.7314358e-05
8,067 Learning Statistical Models from Relational Data 2011 SIGMOD 4.5937196e-05
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