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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
4.9769913e-05
Overall Rank
10,495 | 29.47%
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 0.00061067652
40 The Case for Learned Index Structures 2018 SIGMOD 0.00046363107
85 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035876108
144 Neo: A Learned Query Optimizer 2019 VLDB 0.00029090793
361 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00020000855
422 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00018488849
981 Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation 2022 VLDB 0.00012713454
1,195 Balsa: Learning a Query Optimizer Without Expert Demonstrations 2022 SIGMOD 0.00011574218
1,515 DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems 2021 VLDB 0.00010418766
1,525 Updatable Learned Index with Precise Positions 2021 VLDB 0.00010355133
1,735 Flow-Loss: Learning Cardinality Estimates That Matter 2021 VLDB 9.7566604e-05
1,834 Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet 2024 VLDB 9.5349903e-05
2,209 Lero: A Learning-to-Rank Query Optimizer 2023 VLDB 8.8360101e-05
2,342 Learned Cardinality Estimation: An In-depth Study 2022 SIGMOD 8.6074783e-05
2,582 Are Updatable Learned Indexes Ready? 2022 VLDB 8.2641447e-05
2,686 Cost-based or Learning-based? A Hybrid Query Optimizer for Query Plan Selection 2022 VLDB 8.1300913e-05
3,262 Scaling Multicore Databases via Constrained Parallel Execution 2016 SIGMOD 7.4800686e-05
3,311 Cloud Analytics Benchmark 2023 VLDB 7.4364696e-05
3,327 Robust Query Driven Cardinality Estimation under Changing Workloads 2023 VLDB 7.4233639e-05
3,621 Learned Index: A Comprehensive Experimental Evaluation 2023 VLDB 7.1510804e-05
4,299 ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads 2024 VLDB 6.6766173e-05
4,635 PLIN: A Persistent Learned Index for Non-Volatile Memory with High Performance and Instant Recovery 2023 VLDB 6.4904555e-05
5,378 Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices 2023 SIGMOD 6.1551053e-05
5,405 FILM: a Fully Learned Index for Larger-than-Memory Databases 2023 VLDB 6.1435108e-05
5,715 Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data 2023 SIGMOD 6.0178585e-05
5,776 Lemo: A Cache-Enhanced Learned Optimizer for Concurrent Queries 2023 SIGMOD 5.9957692e-05
5,850 Modeling Shifting Workloads for Learned Database Systems 2024 SIGMOD 5.9697921e-05
6,298 Is Your Learned Query Optimizer Behaving As You Expect? A Machine Learning Perspective 2024 VLDB 5.8177684e-05
6,684 Controllable Tabular Data Synthesis Using Diffusion Models 2024 SIGMOD 5.70774e-05
6,748 Don’t Look Back, Look into the Future: Prescient Data Partitioning and Migration for Deterministic Database Systems 2021 SIGMOD 5.6882313e-05
7,804 Litmus: Towards a Practical Database Management System with Verifiable ACID Properties and Transaction Correctness 2022 SIGMOD 5.4486044e-05
8,032 NeurDB: On the Design and Implementation of an AI-powered Autonomous Database 2025 CIDR 5.4017794e-05
8,952 Machine Unlearning in Learned Databases: An Experimental Analysis 2024 SIGMOD 5.2517414e-05
9,126 Modyn: Data-Centric Machine Learning Pipeline Orchestration 2025 SIGMOD 5.2238659e-05
9,782 Understanding Robustness Issues of Updatable Learned Indexes: [Experiments & Analysis] 2026 SIGMOD 5.129066e-05
10,230 Modeling Concurrency Control as a Learnable Function 2026 SIGMOD 5.0547568e-05
10,500 On Self-Designing Learned Indexes 2026 SIGMOD 4.9769913e-05
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