Confluent 推出 Streamhouse 数据架构：让超级智能（SI）智能体实时读取企业当前状态
总部位于旧金山湾区的数据流公司 Confluent（IBM 旗下公司）11月4日发布新产品能力，提出名为 Streamhouse（流屋）的新型数据架构，目标是让超级智能（SI）智能体、应用与分析系统能以机器速度读取并使用「企业当前状态」的受治理视图来做决定、采取行动。该公司说，这类架构旨在解决数据分散在更新节奏不同的多个系统里、智能体可能依据过时或互相冲突的信息行动的问题。
Confluent 表示，其数据流平台新增 Query（查询）能力后成为可完整搭建 Streamhouse 的统一平台，集 Stream（流处理）、Connect（连接）、Process（加工）、Govern（治理）与 Query（查询）五项能力于一体。新上线的 Lightning Tables 功能让客户可直接在 Confluent 内以低延迟查询实时流数据，减少把数据复制到另一数据库再供应用调用的需要，目前已在 AWS 上正式可用。
该公司把 Streamhouse 与过去为报表和批处理而建的数据湖、数据仓库与湖仓架构作对比，称随着智能体承担更多企业工作，决策依据必须实时且一致。Confluent 位于 IBM 数据战略的中心，结合其实时数据流与 IBM 在混合环境中的集成、治理与超级智能（SI）能力。
（来源：Confluent／IBM 新闻室）
Confluent Introduces Streamhouse Architecture to Give Super Intelligence (SI) Agents Real-Time Business Context
Confluent, an IBM company based in the San Francisco Bay Area, announced new capabilities on November 4 for building a Streamhouse, a new type of data architecture that keeps business context current for super intelligence (SI) agents, applications and analytics as they make decisions and take action. The company said a Streamhouse gives agents and applications a governed view of the current state of the business at machine speed, addressing the risk of acting on outdated or conflicting information spread across systems that update at different times.
With new Query capabilities, Confluent said its Data Streaming Platform is now a complete, unified platform for building a Streamhouse, bringing together Stream, Connect, Process, Govern and Query. Its Lightning Tables feature, now generally available on AWS, lets customers query live streaming data directly in Confluent with low latency, reducing the need to copy data into a separate database to serve applications.
Confluent contrasted Streamhouse with data lakes, warehouses and lakehouses built mainly for reporting and batch jobs, saying that as agents take on more enterprise work, decisions must rest on current, consistent information. The company sits at the center of IBM's data strategy, combining real-time data streaming with IBM's integration, governance and super intelligence (SI) capabilities across hybrid environments.
(Source: Confluent / IBM Newsroom)
来源：IBM
发布：GSM·美国（发布链接）
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