分析云原生数据仓库AnalyticDB MySQL版系统的相关内容

阿里云文档 2026-01-08

DescribeAPSADBInstances查询联邦分析的ADB实例列表-云原生数据仓库AnalyticDB-阿里云

获取APS联邦分析ADB实例列表。

阿里云文档 2025-11-10

OpenLake实践：集成Flink、Paimon与Hologres实现一体化实时湖仓分析-实时数仓 Hologres-阿里云

本文将为您介绍使用Flink、Paimon和Hologres搭建实时湖仓分析系统，并对GitHub公开事件行为数据进行实时分析。本系统利用Flink处理GitHub公开行为事件数据，并将数据以Paimon格式写入数据湖。系统同时使用Hologres SQL进行实时数据探查，并通过Hologres Dynamic Table将湖上数据实时同步至数据仓库，最终在数据仓库中进行聚合分析和漏斗分析。

阿里云文档 2025-08-12

集群与表数据量的查看与分析

您可以在云原生数据仓库 AnalyticDB MySQL 版空间总览页面查看集群和表的总数据量、冷数据量、热数据量、索引数据量、分区数量、节点的磁盘使用率等指标。

问答 2022-02-15 来自：开发者社区

面向分析加速或者 OLAP 这样的系统为什么不适合支持Lambda架构实时/离线一体化和分析一体化？

问答 2022-02-15 来自：开发者社区

从SQL、高级功能和生态看，如何分析对比Hologres 和开源 OLAP 系统？

问答 2022-02-15 来自：开发者社区

从存储计算角度看，如何分析对比Hologres 和开源 OLAP 系统？

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更新时间 2024-05-19 13:21:58

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基于湖仓一体架构打造的实时湖仓，高度兼容MySQL，毫秒级更新，亚秒级查询。不论在数据湖中的非/半结构化数据，还是在数据库中的结构化数据，都能同时完成高吞吐离线处理和高性能在线分析，做到数据湖的规模，数据库的体验。

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在数据驱动决策的时代，一款性能卓越的数据分析引擎不仅能为企业提供高效的数据支撑，同时也解决了传统 OLTP 在数据分析时面临的查询性能瓶颈、数据不一致等挑战。本方案推荐通过 AnalyticDB MySQL + DTS 来解决 MySQL 的数据分析性能问题。

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