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Learned Approximate Query Processing: Make it Light, Accurate and Fast

Summary: DBEst++: a lightweight learned AQP engine that blends word embeddings with compact neural regressors for joint density estimation and aggregation-value prediction, enabling many small models to cover broad analytical workloads. Robust to high-cardinality categoricals and updates; empirically outperforms learned and sampling-based AQP on TPC‑DS/Flights in accuracy, latency and memory. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
414
Venue
CIDR
Year
2021
Pagerank
5.145989e-05
Overall Rank
6,230 | 56.66%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

Rank Citing Paper Year Venue Pagerank
1,703 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00010836769
3,266 Learned Cardinality Estimation: An In-depth Study 2022 SIGMOD 7.3074684e-05
5,371 LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning 2022 SIGMOD 5.5428776e-05
5,951 PGMJoins: Random Join Sampling with Graphical Models 2021 SIGMOD 5.2592385e-05
6,879 Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data 2023 SIGMOD 4.8971368e-05
9,431 PairwiseHist: Fast, Accurate and Space-Efficient Approximate Query Processing with Data Compression 2024 VLDB 4.3434046e-05
9,621 ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation 2023 VLDB 4.3167167e-05
9,852 Machine Unlearning in Learned Databases: An Experimental Analysis 2024 SIGMOD 4.2714575e-05
10,481 FAAQP: Fast and Accurate Approximate Query Processing based on Bitmap-augmented Sum-Product Network 2025 SIGMOD 4.1945683e-05
10,565 Holistic query Approximation via RL Modeling 2025 VLDB 4.1945683e-05
10,860 Exploring Exploratory Querying 2025 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 18 of 18 cited papers.

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

Rank Cited Paper Year Venue Pagerank
14 Online Aggregation 1997 SIGMOD 0.0010801504
102 The Case for Learned Index Structures 2018 SIGMOD 0.00049545203
140 The MADlib Analytics Library or MAD Skills, the SQL 2012 VLDB 0.00042270404
183 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00036721403
204 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00034784455
514 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.0002124895
608 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00019235898
659 The Making of TPC-DS 2006 VLDB 0.00018500853
716 Query-based Workload Forecasting for Self-Driving Database Management Systems 2018 SIGMOD 0.00017723171
801 SageDB: A Learned Database System 2019 CIDR 0.00016505496
806 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.00016434274
1,204 VerdictDB: Universalizing Approximate Query Processing 2018 SIGMOD 0.00013319541
1,323 Quickr: Lazily Approximating Complex AdHoc Queries in BigData Clusters 2016 SIGMOD 0.00012601997
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
2,364 Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries 2020 SIGMOD 8.9554751e-05
2,501 DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models 2019 SIGMOD 8.6453446e-05
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