EDBT 2026 Demo / reviewers in the wild / expert
Manwu Lin
dblp:385/5869
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
1 paper |
Graph data management · 46% Transaction processing and concurrency control · 30% Database system architecture and tuning · 23% |
Topics — the 3 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Graph data management › graph database
distributed graph database |
0.8 | 1 | 2024 | Galaxybase: A High Performance Native Distributed Graph Database for HTAP · Proc. VLDB Endow. 2024 |
Graph data management
graph database |
0.8 | 1 | 2024 | Galaxybase: A High Performance Native Distributed Graph Database for HTAP · Proc. VLDB Endow. 2024 |
Transaction processing and concurrency control
distributed transaction management |
0.2 | 1 | 2024 | Galaxybase: A High Performance Native Distributed Graph Database for HTAP · Proc. VLDB Endow. 2024 |
Methods — techniques the papers use, named apart from their topics
log-structured adjacency list · 0.8edge page structure · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Galaxybase: A High Performance Native Distributed Graph Database for HTAPabstractWe introduce Galaxybase, a native distributed graph database that addresses the increasing demands for processing large volumes of graph data in diverse industries like finance, manufacturing, and government. Designed to handle the requirements of both transactional and analytical workloads, Galaxybase stands out with its novel data storage and transaction mechanisms. At its core, Galaxybase utilizes a Log-Structured Adjacency List coupled with an Edge Page structure, optimizing read-write operations across a spectrum of tasks such as graph traversals and single edge queries. A notable aspect of Galaxybase is its execution of custom distributed transaction modes tailored for HTAP transactions, allowing for the facilitation of bidirectional and interactive transactions. It ensures data integrity and minimal latency while enabling simultaneous processing of OLTP and OLAP workloads without blocking. Experimental results show that Galaxybase achieves high throughput and low latency in both OLTP and OLAP workloads, across various graph query scenarios and resource conditions. Galaxybase has been deployed in leading banks, education, telecommunication and energy sectors in China, consistently maintaining robust performance for HTAP workloads over the years. Bing Tong, Chen Zhang 0013, Jing Tang 0004, Leihong Yang, Qiye Li, Manwu Lin, Zhongxin Bao, Jia Li 0009, Lei Chen 0002 |
Proc. VLDB Endow. | 8 |