Hyper: A High-Performance and Memory-Efficient Learned Index via Hybrid Construction

Summary: Hyper: hybrid learned index construction to break the usual performance/memory trade-off in dynamic settings. Bottom-up leaves + top-down internals yield concurrent write support and strong speedups with drastically lower memory than prior learned indexes. (summarized by gpt-5.4-mini on May 24 2026)

Paper ID: 6910
Venue: SIGMOD
Year: 2024
Pagerank: 4.5854141e-05
Overall Rank: 8,101 | 43.65%
DOI: 10.1145/3654948

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
8,688	NeurDB: On the Design and Implementation of an AI-powered Autonomous Database	2025	CIDR	4.4673127e-05
10,038	Understanding Robustness Issues of Updatable Learned Indexes: [Experiments & Analysis]	2026	SIGMOD	4.1945683e-05
10,087	High Performance or Low Memory? An Updatable Learned Index Framework for Time-Space Tradeoff	2026	SIGMOD	4.1945683e-05
10,172	HIRE: A Hybrid Learned Index for Robust and Efficient Performance under Mixed Workloads	2026	SIGMOD	4.1945683e-05
10,562	FB+-tree: A Memory-Optimized B+-tree with Latch-Free Update	2025	VLDB	4.1945683e-05

Outgoing Citations (Sorted by Pagerank)

Showing 19 of 19 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
102	The Case for Learned Index Structures	2018	SIGMOD	0.00049545203
131	Integrating Compression and Execution in Column-Oriented Database Systems	2006	SIGMOD	0.0004370331
381	FAST: Fast Architecture Sensitive Tree Search on Modern CPUs and GPUs	2010	SIGMOD	0.00024873637
563	Tree Indexing on Solid State Drives	2010	VLDB	0.00020031827
826	ALEX: An Updatable Adaptive Learned Index	2020	SIGMOD	0.00016224841
857	The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds	2020	VLDB	0.00015882892
1,087	HOT: A Height Optimized Trie Index for Main-Memory Database Systems	2018	SIGMOD	0.00014162909
1,375	FITing-Tree: A Data-aware Index Structure	2019	SIGMOD	0.00012303141
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
2,732	Efficiently Searching In-Memory Sorted Arrays: Revenge of the Interpolation Search?	2019	SIGMOD	8.2087602e-05
3,131	FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems	2022	VLDB	7.4985793e-05
4,060	CDFShop: Exploring and Optimizing Learned Index Structures	2020	SIGMOD	6.4836825e-05
4,128	Are Updatable Learned Indexes Ready?	2022	VLDB	6.4292373e-05
5,074	Learned Index: A Comprehensive Experimental Evaluation	2023	VLDB	5.7175726e-05
5,319	DILI: A Distribution-Driven Learned Index	2023	VLDB	5.5713974e-05
5,835	Order-Preserving Key Compression for In-Memory Search Trees	2020	SIGMOD	5.30905e-05
7,869	SALI: A Scalable Adaptive Learned Index Framework based on Probability Models	2023	SIGMOD	4.6315248e-05
8,077	Hyperion: Building the Largest In-memory Search Tree	2019	SIGMOD	4.59165e-05

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
8,076	Accelerating String-key Learned Index Structures via Memoization-based Incremental Training	2024	VLDB	4.5917398e-05
7,390	Making In-Memory Learned Indexes Efficient on Disk	2024	SIGMOD	4.7431654e-05
8,655	Adaptive Hybrid Indexes	2022	SIGMOD	4.4739554e-05
1,312	Reducing the Storage Overhead of Main-Memory OLTP Databases with Hybrid Indexes	2016	SIGMOD	0.00012652548
5,074	Learned Index: A Comprehensive Experimental Evaluation	2023	VLDB	5.7175726e-05
8,811	Tuning Hierarchical Learned Indexes on Disk and Beyond	2022	SIGMOD	4.4441574e-05
4,128	Are Updatable Learned Indexes Ready?	2022	VLDB	6.4292373e-05
10,087	High Performance or Low Memory? An Updatable Learned Index Framework for Time-Space Tradeoff	2026	SIGMOD	4.1945683e-05
1,460	Benchmarking Learned Indexes	2021	VLDB	0.00011887068
10,172	HIRE: A Hybrid Learned Index for Robust and Efficient Performance under Mixed Workloads	2026	SIGMOD	4.1945683e-05