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The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds

Summary: Introduces PGM-index, the first fully dynamic learned index with provable worst-case bounds and optimal static predecessor/range performance. Distribution-aware, repetitive-model compression, and multicriteria variants yield orders-of-magnitude space savings over B+-trees. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h5389ed8b56536601
Venue
VLDB
Year
2020
Pagerank
0.00017880664
Overall Rank
458 | 96.93%
DOI
10.14778/3389133.3389135
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{ferragina_vldb20,
        title = {{The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds}},
        author = {Ferragina, Paolo and Vinciguerra, Giorgio},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {8},
        pages = {1162--1175},
        doi = {10.14778/3389133.3389135},
        url = {https://doi.org/10.14778/3389133.3389135},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 50 of 78 citing papers.

Rank Citing Paper Year Venue Pagerank
835 Benchmarking Learned Indexes 2021 VLDB 0.00013575971
1,188 Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads 2021 VLDB 0.00011598149
1,525 Updatable Learned Index with Precise Positions 2021 VLDB 0.00010355133
1,877 Effectively Learning Spatial Indices 2020 VLDB 9.4498401e-05
2,270 FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems 2022 VLDB 8.7166469e-05
2,582 Are Updatable Learned Indexes Ready? 2022 VLDB 8.2641447e-05
2,861 APEX: A High-Performance Learned Index on Persistent Memory 2022 VLDB 7.9295281e-05
3,233 TreeLine: An Update-In-Place Key-Value Store for Modern Storage 2023 VLDB 7.5008192e-05
3,565 Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift 2023 SIGMOD 7.200937e-05
3,621 Learned Index: A Comprehensive Experimental Evaluation 2023 VLDB 7.1510804e-05
3,710 CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm 2022 VLDB 7.0775695e-05
4,155 LeCo: Lightweight Compression via Learning Serial Correlations 2024 SIGMOD 6.7730383e-05
4,362 NFL: Robust Learned Index via Distribution Transformation 2022 VLDB 6.6357559e-05
4,366 DILI: A Distribution-Driven Learned Index 2023 VLDB 6.6330579e-05
4,618 The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures 2022 SIGMOD 6.4981355e-05
4,635 PLIN: A Persistent Learned Index for Non-Volatile Memory with High Performance and Instant Recovery 2023 VLDB 6.4904555e-05
4,715 Hist-Tree: Those Who Ignore It Are Doomed to Learn 2021 CIDR 6.4537149e-05
4,851 The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data 2023 SIGMOD 6.377837e-05
4,878 Oasis: An Optimal Disjoint Segmented Learned Range Filter 2024 VLDB 6.369385e-05
4,890 Can Learned Models Replace Hash Functions? 2023 VLDB 6.3663299e-05
5,041 Dissecting, Designing, and Optimizing LSM-based Data Stores 2022 SIGMOD 6.2998284e-05
5,043 LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems 2022 SIGMOD 6.2979214e-05
5,224 SafeBound: A Practical System for Generating Cardinality Bounds 2023 SIGMOD 6.2197808e-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
5,973 Towards instance-optimized data systems 2021 VLDB 5.9281867e-05
6,267 A Critical Analysis of Recursive Model Indexes 2022 VLDB 5.8283218e-05
6,597 LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves 2023 VLDB 5.7386302e-05
6,613 Making In-Memory Learned Indexes Efficient on Disk 2024 SIGMOD 5.7326443e-05
6,787 SALI: A Scalable Adaptive Learned Index Framework based on Probability Models 2023 SIGMOD 5.6810904e-05
6,867 Accelerating String-key Learned Index Structures via Memoization-based Incremental Training 2024 VLDB 5.6581046e-05
7,157 Adaptive Hybrid Indexes 2022 SIGMOD 5.595284e-05
7,297 Hyper: A High-Performance and Memory-Efficient Learned Index via Hybrid Construction 2024 SIGMOD 5.5609237e-05
7,369 HINT: A Hierarchical Index for Intervals in Main Memory 2022 SIGMOD 5.5391637e-05
7,397 LiteHST: A Tree Embedding based Method for Similarity Search 2023 SIGMOD 5.5344479e-05
7,714 The next 50 Years in Database Indexing or: The Case for Automatically Generated Index Structures 2022 VLDB 5.4699237e-05
8,204 WISK: A Workload-aware Learned Index for Spatial Keyword Queries 2023 SIGMOD 5.3769515e-05
8,207 Sieve: A Learned Data-Skipping Index for Data Analytics 2023 VLDB 5.3763264e-05
8,208 Algorithmic Complexity Attacks on Dynamic Learned Indexes 2024 VLDB 5.3761984e-05
8,382 Tuning Hierarchical Learned Indexes on Disk and Beyond 2022 SIGMOD 5.341043e-05
8,402 The Case for Learned In-Memory Joins 2023 VLDB 5.3375308e-05
8,427 Femur: A Flexible Framework for Fast and Secure Querying from Public Key-Value Store 2025 SIGMOD 5.3324907e-05
8,540 AirIndex: Versatile Index Tuning Through Data and Storage 2023 SIGMOD 5.3192281e-05
8,619 Limousine: Blending Learned and Classical Indexes to Self-Design Larger-than-Memory Cloud Storage Engines 2024 SIGMOD 5.3001199e-05
8,761 A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach 2025 SIGMOD 5.2821881e-05
8,882 Why Are Learned Indexes So Effective but Sometimes Ineffective? 2025 VLDB 5.255795e-05
8,955 HAP: An Efficient Hamming Space Index Based on Augmented Pigeonhole Principle 2022 SIGMOD 5.2508006e-05
9,159 Towards Systematic Index Dynamization 2024 VLDB 5.2161634e-05
9,484 PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy 2024 VLDB 5.168414e-05
9,601 Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs 2024 SIGMOD 5.153951e-05
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Outgoing Citations (Sorted by Pagerank)

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