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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
hf8b0937cfe72c663
Venue
VLDB
Year
2020
Pagerank
0.00021167555
Overall Rank
318 | 97.87%
DOI
10.14778/3384345.3384349

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{hilprecht_vldb20,
        title = {{DeepDB: Learn from Data, not from Queries!}},
        author = {Hilprecht, Benjamin and Schmidt, Andreas and Kulessa, Moritz and Molina, Alejandro and Kersting, Kristian and Binnig, Carsten},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {7},
        pages = {992--1005},
        doi = {10.14778/3384345.3384349},
        url = {https://doi.org/10.14778/3384345.3384349},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 24 of 124 citing papers.

Rank Citing Paper Year Venue Pagerank
10,051 Efficient Insights Discovery through Conditional Generative Model based Query Approximation 2022 SIGMOD 5.0891505e-05
10,103 Still Asking: How Good Are Query Optimizers, Really? 2025 VLDB 5.0789354e-05
10,205 Turbo-Charging SPJ Query Plans with Learned Physical Join Operator Selections 2022 VLDB 5.0603873e-05
10,216 PRICE: A Pretrained Model for Cross-Database Cardinality Estimation 2025 VLDB 5.0584922e-05
10,294 Data-Agnostic Cardinality Learning from Imperfect Workloads 2025 VLDB 5.0431863e-05
10,322 SSCard: Substring Cardinality Estimation using Suffix Tree-Guided Learned FM-Index 2026 SIGMOD 5.0346745e-05
10,336 An Elephant Under The Microscope: Analyzing The Interaction Of Optimizer Components In PostgreSQL 2025 SIGMOD 5.0200193e-05
10,401 A Backend-Agnostic Compiler for Approximate Query Processing with Probabilistic Tensor Algebra 2026 SIGMOD 4.9793485e-05
10,422 Bridging the Gap: Cardinality Estimation for Semantic Queries on Unstructured Data 2026 SIGMOD 4.9793485e-05
10,627 CorrBound: Cardinality Estimation Accounting for Inter- and Intra-relation Correlations 2026 SIGMOD 4.9793485e-05
10,650 IDAP++: Advancing Divergence-Aware Pruning with Joint Filter and Layer Optimization 2026 SIGMOD 4.9793485e-05
10,673 Qualitative Join Discovery in Data Lakes using Examples 2026 SIGMOD 4.9793485e-05
10,693 Practical Parameterized Query Optimization via Efficient Plan Reuse and List-wise Ranking 2026 SIGMOD 4.9793485e-05
10,955 How Out-of-Bounds Are Your Cardinality Estimates? 2026 VLDB 4.9793485e-05
11,184 FAAQP: Fast and Accurate Approximate Query Processing based on Bitmap-augmented Sum-Product Network 2025 SIGMOD 4.9793485e-05
11,239 Holistic query Approximation via RL Modeling 2025 VLDB 4.9793485e-05
11,257 ACE: A Cardinality Estimator for Set-Valued Queries 2025 VLDB 4.9793485e-05
11,283 Robust Plan Evaluation based on Approximate Probabilistic Machine Learning 2025 VLDB 4.9793485e-05
11,290 Cardinality Estimation for Having-Clauses 2025 VLDB 4.9793485e-05
11,333 The Accuracy of Cardinality Estimators: Unraveling the Evaluation Result Conundrum 2025 VLDB 4.9793485e-05
11,354 Privacy-Enhanced Database Synthesis for Benchmark Publishing 2025 VLDB 4.9793485e-05
11,507 Sub-optimal Join Order Identification with L1-error 2024 SIGMOD 4.9793485e-05
11,932 Accelerating Complex Analytics using Speculation 2021 CIDR 4.9793485e-05
11,958 XLJoins 2021 SIGMOD 4.9793485e-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
15 How Good Are Query Optimizers, Really? 2016 VLDB 0.00061066921
40 The Case for Learned Index Structures 2018 SIGMOD 0.00046284649
85 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035864347
145 Neo: A Learned Query Optimizer 2019 VLDB 0.0002908188
286 Selectivity Estimation using Probabilistic Models 2001 SIGMOD 0.0002211981
309 Approximate Query Processing Using Wavelets 2000 VLDB 0.00021384073
406 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.00019045544
461 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.00017829982
596 Wander Join: Online Aggregation via Random Walks 2016 SIGMOD 0.00015785583
688 Cardinality Estimation Done Right: Index-Based Join Sampling 2017 CIDR 0.00014753664
692 Selectivity Estimation for Range Predicates using Lightweight Models 2019 VLDB 0.00014741011
784 VerdictDB: Universalizing Approximate Query Processing 2018 SIGMOD 0.00014012614
841 BayesStore: Managing Large, Uncertain Data Repositories with Probabilistic Graphical Models 2008 VLDB 0.00013541445
1,433 Towards a Learning Optimizer for Shared Clouds 2019 VLDB 0.00010677711
1,456 Querying Continuous Functions in a Database System 2008 SIGMOD 0.00010589614
1,797 IDEBench: A Benchmark for Interactive Data Exploration 2020 SIGMOD 9.6187325e-05
1,829 DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models 2019 SIGMOD 9.5510333e-05
2,027 Database Learning: Toward a Database that Becomes Smarter Every Time 2017 SIGMOD 9.1618139e-05
2,172 A Black-Box Approach to Query Cardinality Estimation 2007 CIDR 8.9214171e-05
2,238 Designing Succinct Secondary Indexing Mechanism by Exploiting Column Correlations 2019 SIGMOD 8.7751619e-05
2,303 Selectivity Estimation in Extensible Databases - A Neural Network Approach 1998 VLDB 8.6708797e-05
4,576 SlimShot: In-Database Probabilistic Inference for Knowledge Bases 2016 VLDB 6.5244201e-05
4,765 Probabilistic Databases with MarkoViews 2012 VLDB 6.4275411e-05
7,427 Local Structure and Determinism in Probabilistic Databases 2012 SIGMOD 5.5304729e-05
8,161 Learning Statistical Models from Relational Data 2011 SIGMOD 5.3864168e-05
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