BTrim - Hybrid In-Memory Database Architecture for Extreme Transaction Processing in VLDBs
Summary: BTrim embeds a durable, row-oriented in-memory store/cache into SAP ASE’s page-store engine, transparently serving hot and cold data without application changes while harvesting cold rows. Transaction-log mining exposes OLTP contention and guides the architecture. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Aditya Gurajada
- 2. Dheren Gala (Systems, Applications, and Products in Data Processing Labs)
- 3. Fei Zhou
- 4. Amit Pathak (Systems, Applications, and Products in Data Processing Labs)
- 5. Zhan-Feng Ma (Systems, Applications, and Products in Data Processing China Co. Ltd.)
BibTeX Citation
@article{gurajada_vldb18,
title = {{BTrim - Hybrid In-Memory Database Architecture for Extreme Transaction Processing in VLDBs}},
author = {Gurajada, Aditya and Gala, Dheren and Zhou, Fei and Pathak, Amit and Ma, Zhan-Feng},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {12},
pages = {1889--1901},
doi = {10.14778/3229863.3229875},
url = {https://doi.org/10.14778/3229863.3229875},
year = {2018}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,367 | Native Store Extension for SAP HANA | 2019 | VLDB | 7.4718829e-05 |
| 7,184 | Memory-Optimized Multi-Version Concurrency Control for Disk-Based Database Systems | 2022 | VLDB | 5.6785094e-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 |
|---|---|---|---|---|
| 38 | Hekaton: SQL Server’s Memory-Optimized OLTP Engine | 2013 | SIGMOD | 0.00047648573 |
| 68 | The End of an Architectural Era (It’s Time for a Complete Rewrite) | 2007 | VLDB | 0.00038446206 |
| 109 | DBMSs On A Modern Processor: Where Does Time Go? | 1999 | VLDB | 0.000331207 |
| 157 | OLTP Through the Looking Glass, and What We Found There | 2008 | SIGMOD | 0.0002863588 |
| 428 | HYRISE—A Main Memory Hybrid Storage Engine | 2011 | VLDB | 0.00018633493 |
| 575 | Efficient Transaction Processing in SAP HANA Database – The End of a Column Store Myth | 2012 | SIGMOD | 0.00016257033 |
| 720 | Anti-Caching: A New Approach to Database Management System Architecture | 2013 | VLDB | 0.00014632914 |
| 1,524 | Trekking Through Siberia: Managing Cold Data in a Memory-Optimized Database | 2014 | VLDB | 0.00010501517 |
| 2,267 | In-Memory Performance for Big Data | 2015 | VLDB | 8.8388928e-05 |
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|---|---|---|---|---|
| 1 | 8,579 | Cost Modelling for Optimal Data Placement in Heterogeneous Main Memory | 2022 | VLDB |
| 2 | 966 | A Common Database Approach for OLTP and OLAP Using an In-Memory Column Database | 2009 | SIGMOD |
| 3 | 8,452 | A Storage Advisor for Hybrid-Store Databases | 2012 | VLDB |
| 4 | 5,536 | Database Processing-in-Memory: An Experimental Study | 2020 | VLDB |
| 5 | 9,409 | NV-SQL: Boosting OLTP Performance with Non-Volatile DIMMs | 2023 | VLDB |
| 6 | 3,902 | The Impact of Columnar In-Memory Databases on Enterprise Systems: Implications of Eliminating Transaction-Maintained Aggregates | 2014 | VLDB |
| 7 | 4,133 | SAP HANA Adoption of Non-Volatile Memory | 2017 | VLDB |
| 8 | 1,315 | Fast Updates on Read-Optimized Databases Using Multi-Core CPUs | 2012 | VLDB |
| 9 | 3,367 | Native Store Extension for SAP HANA | 2019 | VLDB |
| 10 | 10,971 | No Cap, This Memory Slaps: Breaking Through the Memory Wall of Transactional Database Systems with Processing-in-Memory | 2025 | VLDB |