Database Paper Browser

Back to papers

PRICE: A Pretrained Model for Cross-Database Cardinality Estimation

Summary: PRICE: a pretrained multi-table cardinality estimator that uses self-attention over low-level, distributional and query features to learn transferable meta-knowledge for cross-database CardEst while needing only histogram-like preparation cost. Pretrained on 30 datasets (≈5h, ~40MB) and finetunable, PRICE outperforms prior ML estimators, yields faster/lower-overhead plans, and is robust to updates, scaling, and workload shifts. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
14224
Venue
VLDB
Year
2025
Pagerank
4.2656547e-05
Overall Rank
9,878 | 31.29%
DOI
10.14778/3712221.3712231

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
9,845 Path-centric Cardinality Estimation for Subgraph Matching 2025 VLDB 4.2721228e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 39 of 39 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1 Access Path Selection in a Relational Database Management System 1979 SIGMOD 0.0040449103
71 How Good Are Query Optimizers, Really? 2016 VLDB 0.00059038975
141 Selectivity Estimation Without the Attribute Value Independence Assumption 1997 VLDB 0.00041786333
182 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00036962631
204 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00034784455
372 Selectivity Estimation using Probabilistic Models 2001 SIGMOD 0.00025354779
512 STHoles: A Multidimensional Workload-Aware Histogram 2001 SIGMOD 0.00021380733
608 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00019235898
629 Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors 2009 VLDB 0.00018942366
758 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.0001706608
842 Independence is Good: Dependency-Based Histogram Synopses for High-Dimensional Data 2001 SIGMOD 0.00016031973
910 NeuroCard: One Cardinality Estimator for All Tables 2021 VLDB 0.00015423056
943 Wander Join: Online Aggregation via Random Walks 2016 SIGMOD 0.00015145883
996 Approximating Multi-Dimensional Aggregate Range Queries Over Real Attributes 2000 SIGMOD 0.00014741524
1,105 Cardinality Estimation Done Right: Index-Based Join Sampling 2017 CIDR 0.00013990395
1,254 Selectivity Estimation for Range Predicates using Lightweight Models 2019 VLDB 0.00013027411
1,369 Random Sampling over Joins Revisited 2018 SIGMOD 0.00012339777
1,547 Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions 2011 VLDB 0.00011442359
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
2,083 Towards a Learning Optimizer for Shared Clouds 2019 VLDB 9.5834572e-05
2,165 Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation 2015 SIGMOD 9.389622e-05
2,762 FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation 2021 VLDB 8.1585394e-05
2,969 Estimating Join Selectivities using Bandwidth-Optimized Kernel Density Models 2017 VLDB 7.7974762e-05
3,266 Learned Cardinality Estimation: An In-depth Study 2022 SIGMOD 7.3074684e-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
3,828 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
4,417 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
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
5,952 Eraser: Eliminating Performance Regression on Learned Query Optimizer 2024 VLDB 5.2591691e-05
6,368 Pre-training Summarization Models of Structured Datasets for Cardinality Estimation 2022 VLDB 5.0937722e-05
6,775 A Unified Transferable Model for ML-Enhanced DBMS 2022 CIDR 4.9299192e-05
6,885 PilotScope: Steering Databases with Machine Learning Drivers 2024 VLDB 4.895386e-05
Previous Page 1 / 1 Next

Semantically Similar Papers

Overall Rank Paper Year Venue Pagerank
11,190 Efficient and Effective Cardinality Estimation for Skyline Family 2023 SIGMOD 4.1945683e-05
9,388 CEDA: Learned Cardinality Estimation with Domain Adaptation 2023 VLDB 4.3443083e-05
10,619 Data-Agnostic Cardinality Learning from Imperfect Workloads 2025 VLDB 4.1945683e-05
7,221 Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation 2023 SIGMOD 4.797194e-05
1,638 Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation 2022 VLDB 0.00011049779
3,449 Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation 2022 VLDB 7.0824319e-05
1,703 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00010836769
10,590 ACE: A Cardinality Estimator for Set-Valued Queries 2025 VLDB 4.1945683e-05
806 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.00016434274
6,368 Pre-training Summarization Models of Structured Datasets for Cardinality Estimation 2022 VLDB 5.0937722e-05