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Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices

Summary: Disk-resident updatable learned indexes vs B+-tree; four SOTA methods implemented. Findings: B+-tree robust on disk; learned indexes beat it only on select workloads; design principles: lower height, lean structures, faster scans, compact storage. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h0f6fc599f20e5a8e
Venue
SIGMOD
Year
2023
Pagerank
6.1347527e-05
Overall Rank
5,397 | 63.83%
DOI
10.1145/3589284

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{lan_sigmod23,
        title = {{Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices}},
        author = {Lan, Hai and Bao, Zhifeng and Culpepper, J. Shane and Borovica-Gajic, Renata},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3589284},
        url = {https://dl.acm.org/doi/10.1145/3589284},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 14 of 14 citing papers.

Rank Citing Paper Year Venue Pagerank
4,901 Oasis: An Optimal Disjoint Segmented Learned Range Filter 2024 VLDB 6.3483238e-05
6,622 Making In-Memory Learned Indexes Efficient on Disk 2024 SIGMOD 5.7136886e-05
6,802 SALI: A Scalable Adaptive Learned Index Framework based on Probability Models 2023 SIGMOD 5.6623052e-05
6,889 Accelerating String-key Learned Index Structures via Memoization-based Incremental Training 2024 VLDB 5.6393954e-05
8,443 Femur: A Flexible Framework for Fast and Secure Querying from Public Key-Value Store 2025 SIGMOD 5.3148581e-05
9,627 Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs 2024 SIGMOD 5.1369088e-05
10,335 DobLIX: A Dual-Objective Learned Index for Log-Structured Merge Trees 2025 VLDB 5.0225409e-05
10,417 Replace or Augment: Rethinking the Role of Learned Indexes in Relational Databases 2027 VLDB 4.9605343e-05
10,561 NeurBench: A Benchmark Suite for Learned Database Components with Drift Modeling: [Experiments & Analysis] 2026 SIGMOD 4.9605343e-05
10,566 On Self-Designing Learned Indexes 2026 SIGMOD 4.9605343e-05
10,649 High Performance or Low Memory? An Updatable Learned Index Framework for Time-Space Tradeoff 2026 SIGMOD 4.9605343e-05
10,822 Toward Drift-Aware Database Benchmarking 2026 VLDB 4.9605343e-05
11,191 VEGA: An Active-tuning Learned Index with Group-Wise Learning Granularity 2025 SIGMOD 4.9605343e-05
11,623 SeLeP: Learning Based Semantic Prefetching for Exploratory Database Workloads 2024 VLDB 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

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

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