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English(EN) Sai Krishna Srirampur (ClickHouse) demonstrates that, for very large datasets, bottlenecks are often due to slow storage not Postgres in his talk for POSETTE: A

专家称，对于大型数据集而言，瓶颈在于存储速度而非 PostgreSQL

作者 PulseAugur 编辑部 · [1 个来源] ·

Sai Krishna Srirampur 在 POSETTE 会议上发表演讲，介绍了关于大型数据集数据库性能的研究结果。他的演讲强调，存储速度，而不是 PostgreSQL 数据库本身，常常是主要的瓶颈。Srirampur 与 ClickHouse 相关，在这次专注于 PostgreSQL 的活动中分享了这些信息。 AI

影响 强调了处理大型数据集的 AI 工作负载可能面临的基础设施瓶颈。

排序理由 在关于数据库性能的会议上发表的研究结果。[lever_c_demoted from research: ic=1 ai=0.4]

在 Mastodon — fosstodon.org 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

专家称，对于大型数据集而言，瓶颈在于存储速度而非 PostgreSQL

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在关于数据库性能的会议上发表的研究结果。[lever_c_demoted from research: ic=1 ai=0.4]
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  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Sai Krishna Srirampur (ClickHouse) 在 POSETTE: A 的演讲中展示，对于非常大的数据集，瓶颈通常是由于存储速度慢而不是 Postgres

    Sai Krishna Srirampur (ClickHouse) demonstrates that, for very large datasets, bottlenecks are often due to slow storage not Postgres in his talk for POSETTE: An Event for Postgres 2026. 📺Stream Sai's talk on YouTube: https://www. youtube.com/watch?v=h7by8IKtJG 0&list=PLOBORF8Y_l…

    链接 youtube.com/watch youtube.com/watch

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