How KGraph Enables Billion‑Scale Graph Processing for Social and E‑Commerce Recommendations

KGraph, developed by Kuaishou since late 2019, is a self‑built graph platform that supports massive social, e‑commerce, and security workloads, offering a distributed KV storage, high‑performance RPC framework, and advanced graph modeling to achieve tens of millions of QPS and low latency for real‑time recommendation and offline graph analytics.

Graph DatabaseKGraphdistributed storage

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How KGraph Enables Billion‑Scale Graph Processing for Social and E‑Commerce Recommendations

DataFunTalk

Jan 23, 2023 · Databases

KGraph: Architecture, Performance, and Applications of Kuaishou's In‑House Graph Platform

This article introduces KGraph, Kuaishou's self‑developed graph platform, detailing its directed heterogeneous property‑graph model, distributed KV storage with PMem persistence, high‑performance RPC framework, key challenges it solves, benchmark results, real‑time recommendation use cases, and future development directions.

KGraphdistributed storagee-commerce recommendation

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KGraph: Architecture, Performance, and Applications of Kuaishou's In‑House Graph Platform

Kuaishou Tech

Nov 15, 2021 · Databases

KGraph: Design and Implementation of a High‑Performance Distributed Graph Database

This article summarizes the design, architecture, and performance optimizations of KGraph, Kuaishou’s high‑throughput distributed graph database, covering its graph model, storage engine built on PMem, the KRPC network framework, scalability, key challenges, and future directions.

Graph DatabaseKGraphKRPC

0 likes · 20 min read

KGraph: Design and Implementation of a High‑Performance Distributed Graph Database