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NeurBench: A Benchmark Suite for Learned Database Components with Drift Modeling: [Experiments & Analysis]

Summary: NeurBench benchmarks learned database components under controllable, measurable data and workload drift via a unified drift factor. Its drift-aware generators preserve correlations, enabling realistic cross-scenario robustness analysis beyond fixed drift settings. (summarized by gpt-5.6-luna on Jul 26 2026)

Paper ID
h89771dab73396f20
Venue
SIGMOD
Year
2026
Pagerank
4.9605343e-05
Overall Rank
10,561 | 29.21%
DOI
10.1145/3802091
PDF
Download (CC BY 4.0)

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Authors

BibTeX Citation

@inproceedings{zhao_sigmod26,
        title = {{NeurBench: A Benchmark Suite for Learned Database Components with Drift Modeling: [Experiments \& Analysis]}},
        author = {Zhao, Zhanhao and Gao, Haotian and Xing, Naili and Zeng, Lingze and Zhang, Meihui and Chen, Gang and Rigger, Manuel and Ooi, Beng Chin},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3802091},
        url = {https://dl.acm.org/doi/10.1145/3802091},
        year = {2026}
}

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Outgoing Citations (Sorted by Pagerank)

Showing 37 of 37 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 0.00061463175
40 The Case for Learned Index Structures 2018 SIGMOD 0.00046249672
84 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035920657
142 Neo: A Learned Query Optimizer 2019 VLDB 0.00029114937
355 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00020146245
427 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00018429918
983 Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation 2022 VLDB 0.00012677179
1,175 Balsa: Learning a Query Optimizer Without Expert Demonstrations 2022 SIGMOD 0.00011630532
1,513 DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems 2021 VLDB 0.00010394557
1,529 Updatable Learned Index with Precise Positions 2021 VLDB 0.00010320909
1,740 Flow-Loss: Learning Cardinality Estimates That Matter 2021 VLDB 9.7289523e-05
1,791 Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet 2024 VLDB 9.6212919e-05
2,190 Lero: A Learning-to-Rank Query Optimizer 2023 VLDB 8.8848923e-05
2,348 Learned Cardinality Estimation: An In-depth Study 2022 SIGMOD 8.5910072e-05
2,590 Are Updatable Learned Indexes Ready? 2022 VLDB 8.2368464e-05
2,696 Cost-based or Learning-based? A Hybrid Query Optimizer for Query Plan Selection 2022 VLDB 8.1068354e-05
3,264 Scaling Multicore Databases via Constrained Parallel Execution 2016 SIGMOD 7.4667818e-05
3,269 Robust Query Driven Cardinality Estimation under Changing Workloads 2023 VLDB 7.463682e-05
3,303 Cloud Analytics Benchmark 2023 VLDB 7.4212268e-05
3,632 Learned Index: A Comprehensive Experimental Evaluation 2023 VLDB 7.1274345e-05
4,315 ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads 2024 VLDB 6.6545412e-05
4,656 PLIN: A Persistent Learned Index for Non-Volatile Memory with High Performance and Instant Recovery 2023 VLDB 6.468994e-05
5,397 Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices 2023 SIGMOD 6.1347527e-05
5,421 FILM: a Fully Learned Index for Larger-than-Memory Databases 2023 VLDB 6.1231965e-05
5,728 Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data 2023 SIGMOD 5.9979958e-05
5,794 Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries 2023 SIGMOD 5.9759435e-05
5,854 Modeling Shifting Workloads for Learned Database Systems 2024 SIGMOD 5.9520525e-05
6,109 Is Your Learned Query Optimizer Behaving As You Expect? A Machine Learning Perspective 2024 VLDB 5.8676956e-05
6,698 Controllable Tabular Data Synthesis Using Diffusion Models 2024 SIGMOD 5.6888667e-05
6,767 Don’t Look Back, Look into the Future: Prescient Data Partitioning and Migration for Deterministic Database Systems 2021 SIGMOD 5.6694268e-05
7,820 Litmus: Towards a Practical Database Management System with Verifiable ACID Properties and Transaction Correctness 2022 SIGMOD 5.4305879e-05
8,050 NeurDB: On the Design and Implementation of an AI-powered Autonomous Database 2025 CIDR 5.3839177e-05
8,975 Machine Unlearning in Learned Databases: An Experimental Analysis 2024 SIGMOD 5.2343759e-05
9,146 Modyn: Data-Centric Machine Learning Pipeline Orchestration 2025 SIGMOD 5.2065925e-05
9,448 Modeling Concurrency Control as a Learnable Function 2026 SIGMOD 5.162056e-05
9,814 Understanding Robustness Issues of Updatable Learned Indexes: [Experiments & Analysis] 2026 SIGMOD 5.1121061e-05
10,566 On Self-Designing Learned Indexes 2026 SIGMOD 4.9605343e-05
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