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arXiv · 2603.03705

GraphLake: A Purpose-Built Graph Compute Engine for Lakehouse

Shige Liu·Songting Chen·Chengjie Qin·Mingxi Wu·Jianguo Wang
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Abstract

In this paper, we introduce GraphLake, a purpose-built graph compute engine for Lakehouse. GraphLake is built on top of the commercial graph database TigerGraph. It maps Lakehouse tables to vertex and edge types in a labeled property graph and supports graph analytics over Lakehouse tables using GSQL. To minimize startup time, it loads only the graph topology. Furthermore, it introduces a series of techniques to ensure query efficiency over Lakehouse tables, including a graph-aware caching mechanism and two Lakehouse-optimized parallel primitives. Extensive experiments demonstrate that GraphLake significantly outperforms PuppyGraph, the current state-of-the-art graph compute engine for Lakehouse, by achieving both lower startup and query time.

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Shige Liu, Songting Chen, Chengjie Qin, Mingxi Wu, Jianguo Wang. 2026-03-04. GraphLake: A Purpose-Built Graph Compute Engine for Lakehouse. https://arxiv.org/abs/2603.03705

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