Modern Main-Memory Database Systems
Summary: Main-memory DB design treats memory as primary, discarding disk-centric assumptions. Highlights memory-aware storage and indexing, concurrency control, durability, recovery, and compiled query processing for high-performance HTAP. Illustrates with H-Store/VoltDB, Hekaton, HyPer, SAP HANA; outlines trends. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Per-Åke Larson (Microsoft)
- 2. Justin Levandoski (Microsoft)
BibTeX Citation
@article{larson_vldb16,
title = {{Modern Main-Memory Database Systems}},
author = {Larson, Per-Åke and Levandoski, Justin},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {13},
doi = {10.14778/3007263.3007321},
url = {https://doi.org/10.14778/3007263.3007321},
year = {2016}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,963 | The Past, Present and Future of Indexing on Persistent Memory | 2022 | VLDB | 5.3435901e-05 |
| 11,981 | The Next 700 Transaction Processing Engines | 2017 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 23 | Efficiently Compiling Efficient Query Plans for Modern Hardware | 2011 | VLDB | 0.00054886415 |
| 38 | Hekaton: SQL Server’s Memory-Optimized OLTP Engine | 2013 | SIGMOD | 0.00047648573 |
| 83 | H-Store: A High-Performance, Distributed Main Memory Transaction Processing System | 2008 | VLDB | 0.00036185259 |
| 172 | High-Performance Concurrency Control Mechanisms for Main-Memory Databases | 2012 | VLDB | 0.00027281663 |
| 233 | Fast Serializable Multi-Version Concurrency Control for Main-Memory Database Systems | 2015 | SIGMOD | 0.00023815642 |
| 575 | Efficient Transaction Processing in SAP HANA Database – The End of a Column Store Myth | 2012 | SIGMOD | 0.00016257033 |
| 1,355 | Query Processing in Main Memory Database Management Systems | 1986 | SIGMOD | 0.0001105702 |
| 1,692 | Real-Time Analytical Processing with SQL Server | 2015 | VLDB | 9.9979924e-05 |
| 3,658 | P*TIME: Highly Scalable OLTP DBMS for Managing Update-Intensive Stream Workload | 2004 | VLDB | 7.2184172e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 3,873 | SAP HANA: The Evolution from a Modern Main-Memory Data Platform to an Enterprise Application Platform | 2013 | VLDB |
| 2 | 1,355 | Query Processing in Main Memory Database Management Systems | 1986 | SIGMOD |
| 3 | 7 | Implementation Techniques For Main Memory Database Systems | 1984 | SIGMOD |
| 4 | 9,890 | Databases in the Era of Memory-Centric Computing | 2025 | CIDR |
| 5 | 29 | Database Architecture Optimized for the New Bottleneck: Memory Access | 1999 | VLDB |
| 6 | 3,455 | How to Build a Non-Volatile Memory Database Management System | 2017 | SIGMOD |
| 7 | 6,748 | The Effect Of Large Main Memory On Database Systems | 1986 | SIGMOD |
| 8 | 83 | H-Store: A High-Performance, Distributed Main Memory Transaction Processing System | 2008 | VLDB |
| 9 | 9,745 | In-Memory for the Masses: Enabling Cost-Efficient Deployments of In-Memory Data Management Platforms for Business Applications | 2019 | VLDB |
| 10 | 2,870 | Database Architectures for New Hardware | 2004 | VLDB |