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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
12222
Venue
VLDB
Year
2020
Pagerank
0.00017851226
Overall Rank
477 | 96.73%
DOI
10.14778/3389133.3389135

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 75 citing papers.

Rank Citing Paper Year Venue Pagerank
847 Benchmarking Learned Indexes 2021 VLDB 0.0001365768
1,174 Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads 2021 VLDB 0.00011817414
1,551 Updatable Learned Index with Precise Positions 2021 VLDB 0.00010381398
1,840 Effectively Learning Spatial Indices 2020 VLDB 9.6404567e-05
2,233 FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems 2022 VLDB 8.8968964e-05
2,806 Are Updatable Learned Indexes Ready? 2022 VLDB 8.1013097e-05
2,910 APEX: A High-Performance Learned Index on Persistent Memory 2022 VLDB 7.9700885e-05
3,535 TreeLine: An Update-In-Place Key-Value Store for Modern Storage 2023 VLDB 7.3333933e-05
3,729 CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm 2022 VLDB 7.1683974e-05
3,792 Learned Index: A Comprehensive Experimental Evaluation 2023 VLDB 7.1220982e-05
3,809 Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift 2023 SIGMOD 7.1074195e-05
4,065 LeCo: Lightweight Compression via Learning Serial Correlations 2024 SIGMOD 6.930275e-05
4,300 DILI: A Distribution-Driven Learned Index 2023 VLDB 6.773869e-05
4,414 NFL: Robust Learned Index via Distribution Transformation 2022 VLDB 6.7159984e-05
4,516 The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures 2022 SIGMOD 6.6489359e-05
4,578 PLIN: A Persistent Learned Index for Non-Volatile Memory with High Performance and Instant Recovery 2023 VLDB 6.6210545e-05
4,660 Hist-Tree: Those Who Ignore It Are Doomed to Learn 2021 CIDR 6.5797541e-05
4,751 The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data 2023 SIGMOD 6.5241784e-05
4,780 Can Learned Models Replace Hash Functions? 2023 VLDB 6.5118885e-05
5,148 LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems 2022 SIGMOD 6.3465986e-05
5,229 Dissecting, Designing, and Optimizing LSM-based Data Stores 2022 SIGMOD 6.307514e-05
5,261 Oasis: An Optimal Disjoint Segmented Learned Range Filter 2024 VLDB 6.2955539e-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
5,576 SafeBound: A Practical System for Generating Cardinality Bounds 2023 SIGMOD 6.1663946e-05
5,974 Towards instance-optimized data systems 2021 VLDB 6.0230488e-05
6,163 A Critical Analysis of Recursive Model Indexes 2022 VLDB 5.9532723e-05
6,459 LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves 2023 VLDB 5.8727182e-05
6,687 Making In-Memory Learned Indexes Efficient on Disk 2024 SIGMOD 5.8022308e-05
6,874 SALI: A Scalable Adaptive Learned Index Framework based on Probability Models 2023 SIGMOD 5.7489487e-05
7,012 Adaptive Hybrid Indexes 2022 SIGMOD 5.7262686e-05
7,225 HINT: A Hierarchical Index for Intervals in Main Memory 2022 SIGMOD 5.6673083e-05
7,368 Accelerating String-key Learned Index Structures via Memoization-based Incremental Training 2024 VLDB 5.6315363e-05
7,376 LiteHST: A Tree Embedding based Method for Similarity Search 2023 SIGMOD 5.6298131e-05
7,392 Hyper: A High-Performance and Memory-Efficient Learned Index via Hybrid Construction 2024 SIGMOD 5.6265456e-05
7,768 The next 50 Years in Database Indexing or: The Case for Automatically Generated Index Structures 2022 VLDB 5.5475685e-05
8,039 Algorithmic Complexity Attacks on Dynamic Learned Indexes 2024 VLDB 5.5021992e-05
8,048 WISK: A Workload-aware Learned Index for Spatial Keyword Queries 2023 SIGMOD 5.5003171e-05
8,056 Sieve: A Learned Data-Skipping Index for Data Analytics 2023 VLDB 5.4983582e-05
8,214 Tuning Hierarchical Learned Indexes on Disk and Beyond 2022 SIGMOD 5.4658344e-05
8,234 The Case for Learned In-Memory Joins 2023 VLDB 5.460955e-05
8,249 Femur: A Flexible Framework for Fast and Secure Querying from Public Key-Value Store 2025 SIGMOD 5.4574671e-05
8,463 Limousine: Blending Learned and Classical Indexes to Self-Design Larger-than-Memory Cloud Storage Engines 2024 SIGMOD 5.4205593e-05
8,591 A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach 2025 SIGMOD 5.4059856e-05
8,709 Why Are Learned Indexes So Effective but Sometimes Ineffective? 2025 VLDB 5.3789739e-05
8,791 HAP: An Efficient Hamming Space Index Based on Augmented Pigeonhole Principle 2022 SIGMOD 5.3717005e-05
8,988 Towards Systematic Index Dynamization 2024 VLDB 5.3384135e-05
9,106 AirIndex: Versatile Index Tuning Through Data and Storage 2023 SIGMOD 5.3226167e-05
9,300 PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy 2024 VLDB 5.289545e-05
9,411 Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs 2024 SIGMOD 5.274743e-05
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