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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
- 6422
- Venue
- SIGMOD
- Year
- 2022
- Pagerank
- 4.3191678e-05
- Overall Rank
- 9,579 | 33.43%
- 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 |
| 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 |
| 88 |
The End of an Architectural Era (It's Time for a Complete Rewrite) |
2007 |
VLDB |
0.0005262025 |
| 156 |
Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases |
2017 |
SIGMOD |
0.00040580118 |
| 286 |
High-Performance Concurrency Control Mechanisms for Main-Memory Databases |
2012 |
VLDB |
0.0002894802 |
| 348 |
Serializable Isolation for Snapshot Databases |
2008 |
SIGMOD |
0.00026473778 |
| 756 |
FOEDUS: OLTP Engine for a Thousand Cores and NVRAM |
2015 |
SIGMOD |
0.00017079523 |
| 781 |
Scalable Logging through Emerging Non-Volatile Memory |
2014 |
VLDB |
0.00016667457 |
| 914 |
Socrates: The New SQL Server in the Cloud |
2019 |
SIGMOD |
0.00015370799 |
| 1,036 |
ERMIA: Fast Memory-Optimized Database System for Heterogeneous Workloads |
2016 |
SIGMOD |
0.00014515226 |
| 1,066 |
Cicada: Dependably Fast Multi-Core In-Memory Transactions |
2017 |
SIGMOD |
0.00014340396 |
| 1,369 |
Aether: A Scalable Approach to Logging |
2010 |
VLDB |
0.0001235533 |
| 1,431 |
An Empirical Evaluation of In-Memory Multi-Version Concurrency Control |
2017 |
VLDB |
0.00012021808 |
| 1,447 |
High Performance Transactions in Deuteronomy |
2015 |
CIDR |
0.0001192999 |
| 1,813 |
The End of a Myth: Distributed Transactions Can Scale |
2017 |
VLDB |
0.00010452333 |
| 2,602 |
What Are We Doing With Our Lives? Nobody Cares About Our Concurrency Control Research |
2017 |
SIGMOD |
8.4638236e-05 |
| 3,364 |
Constant Time Recovery in Azure SQL Database |
2019 |
VLDB |
7.1677609e-05 |
| 3,789 |
Opportunities for Optimism in Contended Main-Memory Multicore Transactions |
2020 |
VLDB |
6.7614151e-05 |
| 3,979 |
Making Updates Disk-I/O Friendly Using SSDs |
2013 |
VLDB |
6.5641036e-05 |
| 4,031 |
Taurus Database: How to be Fast, Available, and Frugal in the Cloud |
2020 |
SIGMOD |
6.5136841e-05 |
| 4,268 |
Fast General Distributed Transactions with Opacity |
2019 |
SIGMOD |
6.2976914e-05 |
| 7,229 |
Industrial-Strength OLTP Using Main Memory and Many Cores |
2020 |
VLDB |
4.790163e-05 |
| 8,245 |
Index Checkpoints for Instant Recovery in In-Memory Database Systems |
2022 |
VLDB |
4.5463745e-05 |
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Pagerank |
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| 3,396 |
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7.1396933e-05 |
| 9,802 |
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VLDB |
4.2777144e-05 |
| 10,417 |
GES: High-Performance Graph Processing Engine and Service in Huawei |
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SIGMOD |
4.1905499e-05 |
| 8,466 |
FusionInsight LibrA: Huawei’s Enterprise Cloud Data Analytics Platform |
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VLDB |
4.4995574e-05 |
| 8,245 |
Index Checkpoints for Instant Recovery in In-Memory Database Systems |
2022 |
VLDB |
4.5463745e-05 |
| 7,229 |
Industrial-Strength OLTP Using Main Memory and Many Cores |
2020 |
VLDB |
4.790163e-05 |
| 8,099 |
GaussDB: A Cloud-Native Multi-Primary Database with Compute-Memory-Storage Disaggregation |
2024 |
VLDB |
4.58218e-05 |