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HiEngine: How to Architect a Cloud-Native Memory-Optimized Database Engine
Summary: HiEngine is a cloud-native, memory-optimized DB with a hierarchical design and compute-side cloud persistence. It coexists with disk-based engines (GaussDB for MySQL), preserves compatibility, and delivers up to 7.5x speedups, rivaling on-prem memory engines.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 6421
- Venue
- SIGMOD
- Year
- 2022
- Pagerank
- 4.3122147e-05
- Overall Rank
- 9,634 | 32.98%
- DOI
-
10.1145/3514221.3526043
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 23 of 23 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 60 |
Efficiently Compiling Efficient Query Plans for Modern Hardware |
2011 |
VLDB |
0.00064439773 |
| 86 |
The End of an Architectural Era (It's Time for a Complete Rewrite) |
2007 |
VLDB |
0.00052563276 |
| 87 |
Hekaton: SQL Server’s Memory-Optimized OLTP Engine |
2013 |
SIGMOD |
0.00052389723 |
| 156 |
Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases |
2017 |
SIGMOD |
0.00040504295 |
| 289 |
High-Performance Concurrency Control Mechanisms for Main-Memory Databases |
2012 |
VLDB |
0.00028938503 |
| 349 |
Serializable Isolation for Snapshot Databases |
2008 |
SIGMOD |
0.00026440605 |
| 763 |
FOEDUS: OLTP Engine for a Thousand Cores and NVRAM |
2015 |
SIGMOD |
0.00017025851 |
| 792 |
Scalable Logging through Emerging Non-Volatile Memory |
2014 |
VLDB |
0.0001661112 |
| 918 |
Socrates: The New SQL Server in the Cloud |
2019 |
SIGMOD |
0.00015350181 |
| 1,036 |
ERMIA: Fast Memory-Optimized Database System for Heterogeneous Workloads |
2016 |
SIGMOD |
0.0001452166 |
| 1,069 |
Cicada: Dependably Fast Multi-Core In-Memory Transactions |
2017 |
SIGMOD |
0.00014319266 |
| 1,373 |
Aether: A Scalable Approach to Logging |
2010 |
VLDB |
0.00012309902 |
| 1,432 |
An Empirical Evaluation of In-Memory Multi-Version Concurrency Control |
2017 |
VLDB |
0.00012017544 |
| 1,457 |
High Performance Transactions in Deuteronomy |
2015 |
CIDR |
0.00011897016 |
| 1,819 |
The End of a Myth: Distributed Transactions Can Scale |
2017 |
VLDB |
0.00010429773 |
| 2,601 |
What Are We Doing With Our Lives? Nobody Cares About Our Concurrency Control Research |
2017 |
SIGMOD |
8.468229e-05 |
| 3,374 |
Constant Time Recovery in Azure SQL Database |
2019 |
VLDB |
7.1635315e-05 |
| 3,788 |
Opportunities for Optimism in Contended Main-Memory Multicore Transactions |
2020 |
VLDB |
6.7656267e-05 |
| 3,980 |
Making Updates Disk-I/O Friendly Using SSDs |
2013 |
VLDB |
6.5664429e-05 |
| 4,019 |
Taurus Database: How to be Fast, Available, and Frugal in the Cloud |
2020 |
SIGMOD |
6.5238856e-05 |
| 4,283 |
Fast General Distributed Transactions with Opacity |
2019 |
SIGMOD |
6.2917189e-05 |
| 7,231 |
Industrial-Strength OLTP Using Main Memory and Many Cores |
2020 |
VLDB |
4.7943888e-05 |
| 8,258 |
Index Checkpoints for Instant Recovery in In-Memory Database Systems |
2022 |
VLDB |
4.5487249e-05 |
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Pagerank |
| 10,787 |
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| 3,753 |
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| 9,299 |
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| 3,430 |
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VLDB |
7.1009617e-05 |
| 9,799 |
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VLDB |
4.2818172e-05 |
| 10,406 |
GES: High-Performance Graph Processing Engine and Service in Huawei |
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SIGMOD |
4.1945683e-05 |
| 8,231 |
FusionInsight LibrA: Huawei’s Enterprise Cloud Data Analytics Platform |
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VLDB |
4.5539609e-05 |
| 8,258 |
Index Checkpoints for Instant Recovery in In-Memory Database Systems |
2022 |
VLDB |
4.5487249e-05 |
| 7,231 |
Industrial-Strength OLTP Using Main Memory and Many Cores |
2020 |
VLDB |
4.7943888e-05 |
| 8,095 |
GaussDB: A Cloud-Native Multi-Primary Database with Compute-Memory-Storage Disaggregation |
2024 |
VLDB |
4.5865778e-05 |