The advent of Apache Hadoop Distributed File System (HDFS) revolutionized the storage, processing, and analysis of data for enterprises, accelerating the growth of big data and bringing about transformative changes to the industry.

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, high-performance 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.

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