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

Summary: PGM-index is a dynamic, compressed learned index with provable bounds for predecessor, range queries and updates. Distribution-aware, repetition-based compression and multicriteria auto-tuning enable large space reductions with competitive times vs B+-trees. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12034
Venue
VLDB
Year
2020
Pagerank
0.00015882892
Overall Rank
857 | 94.04%
DOI
10.14778/3389133.3389135

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 50 of 69 citing papers.

Rank Citing Paper Year Venue Pagerank
1,460 Benchmarking Learned Indexes 2021 VLDB 0.00011887068
1,889 Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads 2021 VLDB 0.00010200865
2,552 Updatable Learned Index with Precise Positions 2021 VLDB 8.5530411e-05
2,678 Effectively Learning Spatial Indices 2020 VLDB 8.3252088e-05
3,131 FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems 2022 VLDB 7.4985793e-05
3,416 LeCo: Lightweight Compression via Learning Serial Correlations 2024 SIGMOD 7.1196234e-05
4,084 APEX: A High-Performance Learned Index on Persistent Memory 2022 VLDB 6.4622113e-05
4,128 Are Updatable Learned Indexes Ready? 2022 VLDB 6.4292373e-05
4,427 TreeLine: An Update-In-Place Key-Value Store for Modern Storage 2023 VLDB 6.1965873e-05
4,593 Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift 2023 SIGMOD 6.0606891e-05
4,646 CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm 2022 VLDB 6.0250374e-05
5,074 Learned Index: A Comprehensive Experimental Evaluation 2023 VLDB 5.7175726e-05
5,157 Hist-Tree: Those Who Ignore It Are Doomed to Learn 2021 CIDR 5.6589595e-05
5,314 Can Learned Models Replace Hash Functions? 2023 VLDB 5.5724608e-05
5,319 DILI: A Distribution-Driven Learned Index 2023 VLDB 5.5713974e-05
5,428 The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures 2022 SIGMOD 5.5091613e-05
5,572 The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data 2023 SIGMOD 5.4277273e-05
5,592 PLIN: A Persistent Learned Index for Non-Volatile Memory with High Performance and Instant Recovery 2023 VLDB 5.4210633e-05
5,642 NFL: Robust Learned Index via Distribution Transformation 2022 VLDB 5.3929294e-05
5,671 LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems 2022 SIGMOD 5.3803919e-05
5,762 Oasis: An Optimal Disjoint Segmented Learned Range Filter 2024 VLDB 5.3377299e-05
5,791 Dissecting, Designing, and Optimizing LSM-based Data Stores 2022 SIGMOD 5.3268999e-05
5,972 SafeBound: A Practical System for Generating Cardinality Bounds 2023 SIGMOD 5.2474768e-05
6,297 Towards instance-optimized data systems 2021 VLDB 5.1227886e-05
6,445 Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices 2023 SIGMOD 5.0589805e-05
6,492 FILM: a Fully Learned Index for Larger-than-Memory Databases 2023 VLDB 5.042727e-05
6,724 A Critical Analysis of Recursive Model Indexes 2022 VLDB 4.9484506e-05
7,042 LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves 2023 VLDB 4.8541986e-05
7,390 Making In-Memory Learned Indexes Efficient on Disk 2024 SIGMOD 4.7431654e-05
7,654 LiteHST: A Tree Embedding based Method for Similarity Search 2023 SIGMOD 4.687476e-05
7,869 SALI: A Scalable Adaptive Learned Index Framework based on Probability Models 2023 SIGMOD 4.6315248e-05
7,915 HINT: A Hierarchical Index for Intervals in Main Memory 2022 SIGMOD 4.617775e-05
8,076 Accelerating String-key Learned Index Structures via Memoization-based Incremental Training 2024 VLDB 4.5917398e-05
8,101 Hyper: A High-Performance and Memory-Efficient Learned Index via Hybrid Construction 2024 SIGMOD 4.5854141e-05
8,222 Sieve: A Learned Data-Skipping Index for Data Analytics 2023 VLDB 4.5555621e-05
8,414 The next 50 Years in Database Indexing or: The Case for Automatically Generated Index Structures 2022 VLDB 4.5203005e-05
8,417 The Case for Learned In-Memory Joins 2023 VLDB 4.5194164e-05
8,627 Limousine: Blending Learned and Classical Indexes to Self-Design Larger-than-Memory Cloud Storage Engines 2024 SIGMOD 4.4829101e-05
8,636 WISK: A Workload-aware Learned Index for Spatial Keyword Queries 2023 SIGMOD 4.4801284e-05
8,650 HAP: An Efficient Hamming Space Index Based on Augmented Pigeonhole Principle 2022 SIGMOD 4.4761716e-05
8,655 Adaptive Hybrid Indexes 2022 SIGMOD 4.4739554e-05
8,671 Algorithmic Complexity Attacks on Dynamic Learned Indexes 2024 VLDB 4.4714076e-05
8,811 Tuning Hierarchical Learned Indexes on Disk and Beyond 2022 SIGMOD 4.4441574e-05
9,095 AirIndex: Versatile Index Tuning Through Data and Storage 2023 SIGMOD 4.3975034e-05
9,285 PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy 2024 VLDB 4.3623546e-05
9,317 Are Joins over LSM-trees Ready? Take RocksDB as an Example 2025 VLDB 4.3556432e-05
9,346 Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs 2024 SIGMOD 4.3532026e-05
9,618 A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach 2025 SIGMOD 4.3173366e-05
9,746 Why Are Learned Indexes So Effective but Sometimes Ineffective? 2025 VLDB 4.2897489e-05
9,827 PLATON: Top-down R-tree Packing with Learned Partition Policy 2023 SIGMOD 4.2751057e-05
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Outgoing Citations (Sorted by Pagerank)

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