Aug 20, 2024 · Databases

How REDgraph Cut Multi‑Hop Query Latency by 50% with Distributed Parallel Execution

Xiaohongshu's REDgraph graph database faced high latency for multi‑hop queries, so the storage team redesigned the query framework using MPP‑inspired distributed parallel execution, edge‑partitioning, operator forwarding, and caching, achieving over 50% latency reduction and making three‑hop queries viable for online services.

Distributed QueryREDgraphgraph-database

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How REDgraph Cut Multi‑Hop Query Latency by 50% with Distributed Parallel Execution

DataFunTalk

Oct 9, 2021 · Databases

Building and Optimizing a Large‑Scale Graph Platform for Financial Risk Control at Du Xiaoman Financial

This article describes how Du Xiaoman Financial designed, built, and continuously optimized a massive graph platform—including data governance, graph learning, query performance, data import, and online deployment—to improve credit risk assessment using billions of nodes and edges, and shares practical lessons on graph databases, distributed training, and real‑time inference.

DGLJanusGraphfinancial analytics

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Building and Optimizing a Large‑Scale Graph Platform for Financial Risk Control at Du Xiaoman Financial