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English(EN) Relational-Core Graph Analytics Querying graphs at SQL scale, and why the node/edge model is a performance tax, not a truer picture of connected data

关系核心图分析挑战节点-边模型

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了 ClickGraph 和 DeltaGraph 系统，它们使用关系模型而非传统的节点-边结构来查询图数据。这些系统将 Cypher 等图查询语言直接翻译成 SQL，使其能够在 ClickHouse 和 Databricks 等现有关系数据库上运行。该方法声称在分析查询方面优于原生图引擎，并且扩展性更强，挑战了长期以来认为连接数据需要专用图数据库的假设。 AI

影响 挑战传统的图数据库架构，可能影响 AI 应用中连接数据的管理和查询方式。

排序理由 介绍图分析新方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.AI 阅读 →

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关系核心图分析挑战节点-边模型

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介绍图分析新方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Gene Zhang ·

    Relational-Core Graph Analytics 使用 SQL 规模查询图，以及为什么节点/边模型是性能税，而不是连接数据的更真实图景

    arXiv:2609.01525v1 Announce Type: cross Abstract: A durable assumption holds that graph analytics requires a purpose-built graph engine, and that relational systems are ill-suited to connected data. We argue the opposite for the workloads enterprises actually run. A columnar rela…

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