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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
7464
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,272 | 29.53%
DOI
10.1145/3802091

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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
18 How Good Are Query Optimizers, Really? 2016 VLDB 0.00059284255
43 The Case for Learned Index Structures 2018 SIGMOD 0.00046060254
84 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035838391
154 Neo: A Learned Query Optimizer 2019 VLDB 0.00028726181
378 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00019638121
447 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00018322593
1,122 Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation 2022 VLDB 0.0001209124
1,241 Balsa: Learning a Query Optimizer Without Expert Demonstrations 2022 SIGMOD 0.00011521639
1,551 Updatable Learned Index with Precise Positions 2021 VLDB 0.00010381398
1,832 DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems 2021 VLDB 9.6607418e-05
1,876 Flow-Loss: Learning Cardinality Estimates That Matter 2021 VLDB 9.5717543e-05
2,408 Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet 2024 VLDB 8.6154404e-05
2,420 Lero: A Learning-to-Rank Query Optimizer 2023 VLDB 8.605257e-05
2,543 Learned Cardinality Estimation: An In-depth Study 2022 SIGMOD 8.4445934e-05
2,762 Cost-based or Learning-based? A Hybrid Query Optimizer for Query Plan Selection 2022 VLDB 8.1539867e-05
2,806 Are Updatable Learned Indexes Ready? 2022 VLDB 8.1013097e-05
3,198 Scaling Multicore Databases via Constrained Parallel Execution 2016 SIGMOD 7.6434062e-05
3,338 Robust Query Driven Cardinality Estimation under Changing Workloads 2023 VLDB 7.5068221e-05
3,792 Learned Index: A Comprehensive Experimental Evaluation 2023 VLDB 7.1220982e-05
3,838 Cloud Analytics Benchmark 2023 VLDB 7.0823175e-05
4,349 ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads 2024 VLDB 6.7504619e-05
4,578 PLIN: A Persistent Learned Index for Non-Volatile Memory with High Performance and Instant Recovery 2023 VLDB 6.6210545e-05
5,423 Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices 2023 SIGMOD 6.2242567e-05
5,447 FILM: a Fully Learned Index for Larger-than-Memory Databases 2023 VLDB 6.2149491e-05
5,701 Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries 2023 SIGMOD 6.1167049e-05
6,132 Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data 2023 SIGMOD 5.9660278e-05
6,271 Is Your Learned Query Optimizer Behaving As You Expect? A Machine Learning Perspective 2024 VLDB 5.9326197e-05
6,323 Modeling Shifting Workloads for Learned Database Systems 2024 SIGMOD 5.9141228e-05
6,555 Controllable Tabular Data Synthesis Using Diffusion Models 2024 SIGMOD 5.8415111e-05
7,650 Litmus: Towards a Practical Database Management System with Verifiable ACID Properties and Transaction Correctness 2022 SIGMOD 5.5755646e-05
7,683 Don’t Look Back, Look into the Future: Prescient Data Partitioning and Migration for Deterministic Database Systems 2021 SIGMOD 5.5681274e-05
8,221 NeurDB: On the Design and Implementation of an AI-powered Autonomous Database 2025 CIDR 5.4640314e-05
8,949 Modyn: Data-Centric Machine Learning Pipeline Orchestration 2025 SIGMOD 5.3462965e-05
9,587 Machine Unlearning in Learned Databases: An Experimental Analysis 2024 SIGMOD 5.2525104e-05
9,599 Understanding Robustness Issues of Updatable Learned Indexes: [Experiments & Analysis] 2026 SIGMOD 5.2492748e-05
10,033 Modeling Concurrency Control as a Learnable Function 2026 SIGMOD 5.173224e-05
10,277 On Self-Designing Learned Indexes 2026 SIGMOD 5.093636e-05
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