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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
0.00017835351
Overall Rank
461 | 96.92%
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
834 Benchmarking Learned Indexes 2021 VLDB 0.00013539098
1,190 Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads 2021 VLDB 0.00011564169
1,529 Updatable Learned Index with Precise Positions 2021 VLDB 0.00010320909
1,884 Effectively Learning Spatial Indices 2020 VLDB 9.422145e-05
2,254 FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems 2022 VLDB 8.7429699e-05
2,590 Are Updatable Learned Indexes Ready? 2022 VLDB 8.2368464e-05
2,870 APEX: A High-Performance Learned Index on Persistent Memory 2022 VLDB 7.9033232e-05
3,249 TreeLine: An Update-In-Place Key-Value Store for Modern Storage 2023 VLDB 7.4761584e-05
3,328 Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift 2023 SIGMOD 7.4094448e-05
3,632 Learned Index: A Comprehensive Experimental Evaluation 2023 VLDB 7.1274345e-05
3,716 CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm 2022 VLDB 7.0541948e-05
4,169 LeCo: Lightweight Compression via Learning Serial Correlations 2024 SIGMOD 6.7526687e-05
4,385 NFL: Robust Learned Index via Distribution Transformation 2022 VLDB 6.613814e-05
4,389 DILI: A Distribution-Driven Learned Index 2023 VLDB 6.6111249e-05
4,621 The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures 2022 SIGMOD 6.4828493e-05
4,656 PLIN: A Persistent Learned Index for Non-Volatile Memory with High Performance and Instant Recovery 2023 VLDB 6.468994e-05
4,727 Hist-Tree: Those Who Ignore It Are Doomed to Learn 2021 CIDR 6.4327925e-05
4,797 LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems 2022 SIGMOD 6.3978116e-05
4,879 The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data 2023 SIGMOD 6.3567479e-05
4,901 Oasis: An Optimal Disjoint Segmented Learned Range Filter 2024 VLDB 6.3483238e-05
4,915 Can Learned Models Replace Hash Functions? 2023 VLDB 6.3452789e-05
5,065 Dissecting, Designing, and Optimizing LSM-based Data Stores 2022 SIGMOD 6.2789973e-05
5,075 SafeBound: A Practical System for Generating Cardinality Bounds 2023 SIGMOD 6.2721634e-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
5,982 Towards instance-optimized data systems 2021 VLDB 5.9096991e-05
6,279 A Critical Analysis of Recursive Model Indexes 2022 VLDB 5.8090653e-05
6,604 LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves 2023 VLDB 5.7196547e-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
7,180 Adaptive Hybrid Indexes 2022 SIGMOD 5.5767825e-05
7,314 Hyper: A High-Performance and Memory-Efficient Learned Index via Hybrid Construction 2024 SIGMOD 5.5425359e-05
7,391 HINT: A Hierarchical Index for Intervals in Main Memory 2022 SIGMOD 5.5208477e-05
7,414 LiteHST: A Tree Embedding based Method for Similarity Search 2023 SIGMOD 5.5161476e-05
7,727 The next 50 Years in Database Indexing or: The Case for Automatically Generated Index Structures 2022 VLDB 5.4518367e-05
8,219 WISK: A Workload-aware Learned Index for Spatial Keyword Queries 2023 SIGMOD 5.359172e-05
8,222 Sieve: A Learned Data-Skipping Index for Data Analytics 2023 VLDB 5.3585489e-05
8,223 Algorithmic Complexity Attacks on Dynamic Learned Indexes 2024 VLDB 5.3584214e-05
8,401 Tuning Hierarchical Learned Indexes on Disk and Beyond 2022 SIGMOD 5.3233821e-05
8,419 The Case for Learned In-Memory Joins 2023 VLDB 5.3198816e-05
8,443 Femur: A Flexible Framework for Fast and Secure Querying from Public Key-Value Store 2025 SIGMOD 5.3148581e-05
8,558 AirIndex: Versatile Index Tuning Through Data and Storage 2023 SIGMOD 5.3016395e-05
8,638 Limousine: Blending Learned and Classical Indexes to Self-Design Larger-than-Memory Cloud Storage Engines 2024 SIGMOD 5.2825944e-05
8,782 A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach 2025 SIGMOD 5.2647219e-05
8,903 Why Are Learned Indexes So Effective but Sometimes Ineffective? 2025 VLDB 5.238416e-05
8,978 HAP: An Efficient Hamming Space Index Based on Augmented Pigeonhole Principle 2022 SIGMOD 5.2334381e-05
9,181 Towards Systematic Index Dynamization 2024 VLDB 5.1989155e-05
9,513 PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy 2024 VLDB 5.151324e-05
9,627 Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs 2024 SIGMOD 5.1369088e-05
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