[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"product:hologres":3},{"id":4,"name":5,"slug":6,"slogan":7,"description":8,"organization":9,"images":10,"avatar_url":11,"image_url":12,"website_url":13,"access_links":14,"status":19,"build_by":20,"categories":21,"stats":25,"upload_relationship":28,"create_at":29,"update_at":30,"owner_id":26,"upload_user_id":31,"reviewer_id":32,"video_info":33,"prerelease_cover_url":34,"scheduled_publish_at":33,"user_scheduled":35,"emoji_reacts":36,"tag":33,"pass_review":33,"user_star":35},3351,"Hologres","hologres","提供弹性计算、负载隔离和企业级安全能力的 AI 一体化实时湖仓平台","{\"type\": \"doc\", \"content\": [{\"type\": \"paragraph\", \"content\": [{\"text\": \"实时数仓 Hologres 是阿里云自研的一体化实时湖仓平台，主要面向企业数据开发、数据分析和业务应用团队。它将数据存储、实时计算、分析查询和在线服务整合到同一平台，帮助企业减少传统数仓、OLAP 引擎、数据库和数据湖之间重复同步与维护的工作。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"用户可以接入 MaxCompute、Flink、DataWorks 及数据湖中的数据，在 Hologres 中进行实时数仓建设、OLAP 查询、即席分析和 BI 可视化，也能将数据用于在线服务、向量检索、知识库和分析 Agent。相比需要组合多个组件的数据架构，Hologres 更强调一份数据支持多种计算和应用场景，并提供弹性计算、负载隔离和企业级安全能力。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"核心功能\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"实时湖仓数据接入：\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"支持连接 MaxCompute、DLF 等外部数据源，通过外部表和联邦查询访问湖仓数据，减少数据在不同系统之间重复搬运。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"实时数据加工：\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"使用 Dynamic Table、Binlog 订阅等能力设置数据刷新、复制和同步流程，并可结合 Flink 构建实时数仓链路。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"OLAP 与 BI 分析：\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"面向用户行为、流量、留存、漏斗和空间数据等场景进行多维分析，并连接 DataV、Quick BI、Tableau、Power BI 等主流工具。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"向量与大模型应用：\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"提供向量计算、MCP 服务及 PAI+大模型+RAG 方案，可用于企业知识库、智能问答和数据分析 Agent。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"弹性计算与资源管理：\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}, {\"text\": \"支持 Serverless 按量计算、计算组隔离、分时弹性和冷热数据分层，帮助企业根据业务负载调整资源使用。\", \"type\": \"text\"}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"适合谁\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}]}, {\"type\": \"bulletList\", \"content\": [{\"type\": \"listItem\", \"content\": [{\"type\": \"paragraph\", \"content\": [{\"text\": \"负责实时数仓、数据平台和数据开发的企业技术团队。\", \"type\": \"text\"}]}]}, {\"type\": \"listItem\", \"content\": [{\"type\": \"paragraph\", \"content\": [{\"text\": \"需要进行用户行为、广告、运营或业务指标分析的数据分析团队。\", \"type\": \"text\"}]}]}, {\"type\": \"listItem\", \"content\": [{\"type\": \"paragraph\", \"content\": [{\"text\": \"需要将实时数据提供给业务系统或在线应用的开发者。\", \"type\": \"text\"}]}]}, {\"type\": \"listItem\", \"content\": [{\"type\": \"paragraph\", \"content\": [{\"text\": \"希望搭建企业知识库、RAG 应用或数据分析 Agent 的 AI 团队。\", \"type\": \"text\"}]}]}]}, {\"type\": \"paragraph\", \"content\": [{\"text\": \"使用方式\", \"type\": \"text\", \"marks\": [{\"type\": \"bold\"}]}]}, {\"type\": \"orderedList\", \"attrs\": {\"type\": null, \"start\": 1}, \"content\": [{\"type\": \"listItem\", \"content\": [{\"type\": \"paragraph\", \"content\": [{\"text\": \"在阿里云开通 Hologres 实例，选择适合业务规模的计算和资源形态。\", \"type\": \"text\"}]}]}, {\"type\": \"listItem\", \"content\": [{\"type\": \"paragraph\", \"content\": [{\"text\": \"接入 MaxCompute、Flink、DataWorks 或数据湖中的数据。\", \"type\": \"text\"}]}]}, {\"type\": \"listItem\", \"content\": [{\"type\": \"paragraph\", \"content\": [{\"text\": \"根据业务需求配置实时加工、Dynamic Table、数据订阅或联邦查询。\", \"type\": \"text\"}]}]}, {\"type\": \"listItem\", \"content\": [{\"type\": \"paragraph\", \"content\": [{\"text\": \"使用 SQL、BI 工具或在线服务接口开展数据分析和业务查询。\", \"type\": \"text\"}]}]}, {\"type\": \"listItem\", \"content\": [{\"type\": \"paragraph\", 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