Industrial-Strength OLTP Using Main Memory and Many Cores
Summary: Industrial-strength OLTP: main-memory, many-core optimized storage engine for GaussDB/openGauss; from research prototype to production, with full integration. Benchmarks show >2.5x TPC-C on x86 multi-core and ARM Kunpeng, highlighting cross-architecture performance gains. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Hillel Avni (Huawei Tel Aviv Research Center)
- 2. Alisher Aliev (Huawei Tel Aviv Research Center)
- 3. Oren Amor (Huawei Tel Aviv Research Center)
- 4. Aharon Avitzur (Huawei Tel Aviv Research Center)
- 5. Ilan Bronshtein (Huawei Tel Aviv Research Center)
- 6. Eli Ginot (Huawei Tel Aviv Research Center)
- 7. Shay Goikhman (Huawei Tel Aviv Research Center)
- 8. Eliezer Levy (Huawei Tel Aviv Research Center)
- 9. Idan Levy (Huawei Tel Aviv Research Center)
- 10. Fuyang Lu (Huawei Tel Aviv Research Center)
- 11. Liran Mishali (Huawei Tel Aviv Research Center)
- 12. Yeqin Mo (Huawei Tel Aviv Research Center)
- 13. Nir Pachter (Huawei Tel Aviv Research Center)
- 14. Dima Sivov (Huawei Tel Aviv Research Center)
- 15. Vinoth Veeraraghavan (Huawei Tel Aviv Research Center)
- 16. Vladi Vexler (Huawei Tel Aviv Research Center)
- 17. Lei Wang (Huawei Tel Aviv Research Center)
- 18. Peng Wang (Huawei Tel Aviv Research Center)
BibTeX Citation
@article{avni_vldb20,
title = {{Industrial-Strength OLTP Using Main Memory and Many Cores}},
author = {Avni, Hillel and Aliev, Alisher and Amor, Oren and Avitzur, Aharon and Bronshtein, Ilan and Ginot, Eli and Goikhman, Shay and Levy, Eliezer and Levy, Idan and Lu, Fuyang and Mishali, Liran and Mo, Yeqin and Pachter, Nir and Sivov, Dima and Veeraraghavan, Vinoth and Vexler, Vladi and Wang, Lei and Wang, Peng},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {12},
pages = {3099--3111},
doi = {10.14778/3415478.3415537},
url = {https://doi.org/10.14778/3415478.3415537},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,155 | ByteHTAP: ByteDance’s HTAP System with High Data Freshness and Strong Data Consistency | 2022 | VLDB | 6.3420293e-05 |
| 6,724 | Skeena: Efficient and Consistent Cross-Engine Transactions | 2022 | SIGMOD | 5.7924267e-05 |
| 6,811 | GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database | 2023 | SIGMOD | 5.7658045e-05 |
| 8,386 | A system design for elastically scaling transaction processing engines in virtualized servers | 2020 | VLDB | 5.436614e-05 |
| 9,667 | HiEngine: How to Architect a Cloud-Native Memory-Optimized Database Engine | 2022 | SIGMOD | 5.2401605e-05 |
| 9,950 | CloudJump: Optimizing Cloud Databases for Cloud Storages | 2022 | VLDB | 5.1915905e-05 |
| 10,889 | Concurrency Control as a Service | 2025 | VLDB | 5.093636e-05 |
| 10,923 | Improving Time Series Data Compression in Apache IoTDB | 2025 | VLDB | 5.093636e-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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| 1 | 6,264 | Mainlining Databases: Supporting Fast Transactional Workloads on Universal Columnar Data File Formats | 2021 | VLDB |
| 2 | 6,811 | GeoGauss: Strongly Consistent and Light-Coordinated OLTP for Geo-Replicated SQL Database | 2023 | SIGMOD |
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| 4 | 9,775 | Twisted Twin: A Collaborative and Competitive Memory Management Approach in HTAP Systems | 2025 | VLDB |
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| 7 | 3,890 | GaccO - A GPU-accelerated OLTP DBMS | 2022 | SIGMOD |
| 8 | 3,662 | openGauss: An Autonomous Database System | 2021 | VLDB |
| 9 | 7,873 | GaussDB: A Cloud-Native Multi-Primary Database with Compute-Memory-Storage Disaggregation | 2024 | VLDB |
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