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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
5.3219666e-05
Overall Rank
5,799 | 59.70%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 12 of 12 citing papers.

Rank Citing Paper Year Venue Pagerank
1,699 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00010848882
3,269 Learned Cardinality Estimation: An In-depth Study 2022 SIGMOD 7.3026051e-05
5,289 LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning 2022 SIGMOD 5.5790771e-05
5,952 PGMJoins: Random Join Sampling with Graphical Models 2021 SIGMOD 5.2547498e-05
6,860 Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data 2023 SIGMOD 4.9008421e-05
8,414 PairwiseHist: Fast, Accurate and Space-Efficient Approximate Query Processing with Data Compression 2024 VLDB 4.5135713e-05
9,621 ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation 2023 VLDB 4.3125802e-05
9,841 Machine Unlearning in Learned Databases: An Experimental Analysis 2024 SIGMOD 4.2685233e-05
10,277 SemBench: A Benchmark for Semantic Query Processing Engines 2026 VLDB 4.1905499e-05
10,491 FAAQP: Fast and Accurate Approximate Query Processing based on Bitmap-augmented Sum-Product Network 2025 SIGMOD 4.1905499e-05
10,574 Holistic query Approximation via RL Modeling 2025 VLDB 4.1905499e-05
10,864 Exploring Exploratory Querying 2025 VLDB 4.1905499e-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 0.0010813443
101 The Case for Learned Index Structures 2018 SIGMOD 0.00049778866
139 The MADlib Analytics Library or MAD Skills, the SQL 2012 VLDB 0.00042320525
183 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00036859633
203 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00034868567
510 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.00021420477
606 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00019251186
659 The Making of TPC-DS 2006 VLDB 0.00018514913
704 Query-based Workload Forecasting for Self-Driving Database Management Systems 2018 SIGMOD 0.00017785557
796 SageDB: A Learned Database System 2019 CIDR 0.00016541749
804 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.0001643674
1,161 VerdictDB: Universalizing Approximate Query Processing 2018 SIGMOD 0.00013579831
1,320 Quickr: Lazily Approximating Complex AdHoc Queries in BigData Clusters 2016 SIGMOD 0.00012606067
1,567 Querying Continuous Functions in a Database System 2008 SIGMOD 0.00011320794
2,080 Towards a Learning Optimizer for Shared Clouds 2019 VLDB 9.5954034e-05
2,126 IDEBench: A Benchmark for Interactive Data Exploration 2020 SIGMOD 9.4814404e-05
2,364 Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries 2020 SIGMOD 8.955077e-05
2,494 DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models 2019 SIGMOD 8.6457436e-05
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