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
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Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,990 | The Past, Present and Future of Indexing on Persistent Memory | 2022 | VLDB | 4.4115395e-05 |
| 11,784 | The Next 700 Transaction Processing Engines | 2017 | SIGMOD | 4.1905499e-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 |
|---|---|---|---|---|
| 59 | Efficiently Compiling Efficient Query Plans for Modern Hardware | 2011 | VLDB | 0.0006445664 |
| 87 | Hekaton: SQL Server’s Memory-Optimized OLTP Engine | 2013 | SIGMOD | 0.00052844656 |
| 136 | H-Store: A High-Performance, Distributed Main Memory Transaction Processing System | 2008 | VLDB | 0.00042409816 |
| 286 | High-Performance Concurrency Control Mechanisms for Main-Memory Databases | 2012 | VLDB | 0.0002894802 |
| 419 | Fast Serializable Multi-Version Concurrency Control for Main-Memory Database Systems | 2015 | SIGMOD | 0.00023720294 |
| 857 | Efficient Transaction Processing in SAP HANA Database – The End of a Column Store Myth | 2012 | SIGMOD | 0.00015840492 |
| 1,337 | Query Processing in Main Memory Database Management Systems | 1986 | SIGMOD | 0.00012515176 |
| 2,419 | Real-Time Analytical Processing with SQL Server | 2015 | VLDB | 8.8485055e-05 |
| 3,890 | P*TIME: Highly Scalable OLTP DBMS for Managing Update-Intensive Stream Workload | 2004 | VLDB | 6.6552177e-05 |
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