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This article reviews the Hadoop architecture, discusses the importance and feasibility of storage-compute decoupling, and explores available market solutions.
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Initially, Hadoop integrated storage and compute, but the emergence of cloud computing led to a separation of these components. Object storage emerged as an alternative to HDFS but had limitations. To complement these limitations, JuiceFS, an open source distributed file system, offers cost-effective solutions for data-intensive scenarios like computation, analysis, and training. The decision to adopt storage-compute separation depends on factors like scalability, performance, cost, and compatibility.