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Benchmarking Learned Indexes

Summary: Introduces a unified benchmark for learned indexes, evaluating three learned index families against traditional baselines on four real-world datasets. Finds that learned indexes can outperform non-learned indexes in read-only in-memory dense arrays, and analyzes caching, pipelining, size effects, multi-threading, and build times to explain their performance. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12291
Venue
VLDB
Year
2021
Pagerank
0.00013252326
Overall Rank
923 | 93.59%
DOI
10.14778/3421424.3421425

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Incoming Citations (Sorted by Pagerank)

Showing 50 of 56 citing papers.

Rank Citing Paper Year Venue Pagerank
1,742 Updatable Learned Index with Precise Positions 2021 VLDB 9.9382185e-05
2,443 FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems 2022 VLDB 8.6373807e-05
2,903 SNARF: A Learning-Enhanced Range Filter 2022 VLDB 8.0416223e-05
3,068 APEX: A High-Performance Learned Index on Persistent Memory 2022 VLDB 7.859091e-05
3,231 Are Updatable Learned Indexes Ready? 2022 VLDB 7.6889233e-05
3,496 TreeLine: An Update-In-Place Key-Value Store for Modern Storage 2023 VLDB 7.4372186e-05
4,004 CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm 2022 VLDB 7.0365146e-05
4,107 Proteus: A Self-Designing Range Filter 2022 SIGMOD 6.9589272e-05
4,256 Learned Index: A Comprehensive Experimental Evaluation 2023 VLDB 6.8662757e-05
4,598 DILI: A Distribution-Driven Learned Index 2023 VLDB 6.683617e-05
4,637 Hist-Tree: Those Who Ignore It Are Doomed to Learn 2021 CIDR 6.6558829e-05
4,661 The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures 2022 SIGMOD 6.6386984e-05
4,742 Cuckoo Index: A Lightweight Secondary Index Structure 2020 VLDB 6.6007088e-05
4,852 PLIN: A Persistent Learned Index for Non-Volatile Memory with High Performance and Instant Recovery 2023 VLDB 6.5429252e-05
4,901 Can Learned Models Replace Hash Functions? 2023 VLDB 6.5170528e-05
5,199 GRF: A Global Range Filter for LSM-Trees with Shape Encoding 2024 SIGMOD 6.3907666e-05
5,260 Oasis: An Optimal Disjoint Segmented Learned Range Filter 2024 VLDB 6.3644313e-05
5,789 Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices 2023 SIGMOD 6.1471889e-05
5,836 FILM: a Fully Learned Index for Larger-than-Memory Databases 2023 VLDB 6.1316846e-05
5,938 Towards instance-optimized data systems 2021 VLDB 6.097047e-05
6,182 A Critical Analysis of Recursive Model Indexes 2022 VLDB 6.0232833e-05
6,370 LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves 2023 VLDB 5.9620077e-05
6,444 Range Search over Encrypted Multi-Attribute Data 2023 VLDB 5.938397e-05
6,958 Making In-Memory Learned Indexes Efficient on Disk 2024 SIGMOD 5.7990776e-05
7,521 SALI: A Scalable Adaptive Learned Index Framework based on Probability Models 2023 SIGMOD 5.6603106e-05
7,721 Accelerating String-key Learned Index Structures via Memoization-based Incremental Training 2024 VLDB 5.6188321e-05
7,881 Towards Designing and Learning Piecewise Space-Filling Curves 2023 VLDB 5.593772e-05
8,100 The Case for Learned In-Memory Joins 2023 VLDB 5.5455315e-05
8,204 The next 50 Years in Database Indexing or: The Case for Automatically Generated Index Structures 2022 VLDB 5.5361142e-05
8,303 Time Series Representation for Visualization in Apache IoTDB 2024 SIGMOD 5.5112019e-05
8,443 WISK: A Workload-aware Learned Index for Spatial Keyword Queries 2023 SIGMOD 5.4946575e-05
8,482 Adaptive Hybrid Indexes 2022 SIGMOD 5.4880805e-05
8,500 Algorithmic Complexity Attacks on Dynamic Learned Indexes 2024 VLDB 5.4845183e-05
8,547 Memento Filter: A Fast, Dynamic, and Robust Range Filter 2024 SIGMOD 5.4742553e-05
8,697 Tuning Hierarchical Learned Indexes on Disk and Beyond 2022 SIGMOD 5.4473761e-05
8,996 AirIndex: Versatile Index Tuning Through Data and Storage 2023 SIGMOD 5.4009155e-05
9,151 Diva: Dynamic Range Filter for Var-Length Keys and Queries 2025 VLDB 5.3726522e-05
9,286 Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs 2024 SIGMOD 5.3541789e-05
9,322 Rethinking The Compaction Policies in LSM-trees 2025 SIGMOD 5.3458264e-05
9,327 Are Joins over LSM-trees Ready? Take RocksDB as an Example 2025 VLDB 5.3449422e-05
9,733 Why Are Learned Indexes So Effective but Sometimes Ineffective? 2025 VLDB 5.2802856e-05
9,902 Towards Systematic Index Dynamization 2024 VLDB 5.2464179e-05
10,038 Understanding Robustness Issues of Updatable Learned Indexes: [Experiments & Analysis] 2026 SIGMOD 5.1725247e-05
10,087 High Performance or Low Memory? An Updatable Learned Index Framework for Time-Space Tradeoff 2026 SIGMOD 5.1725247e-05
10,113 SplineSketch: Even More Accurate Quantiles with Error Guarantees 2026 SIGMOD 5.1725247e-05
10,169 From Learning to Recycling: A Log-Structured Learned-Less Index 2026 SIGMOD 5.1725247e-05
10,172 HIRE: A Hybrid Learned Index for Robust and Efficient Performance under Mixed Workloads 2026 SIGMOD 5.1725247e-05
10,176 Improving Range Scan Performance in LSM-trees with Group Caching 2026 SIGMOD 5.1725247e-05
10,282 Toward Drift-Aware Database Benchmarking 2026 VLDB 5.1725247e-05
10,331 LiBox: A Learned Index as an Array to Minimize Last-Mile Search 2026 VLDB 5.1725247e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

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

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