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Performance Comparison between MinIO and HDFS for MapReduce Workloads
Although the HDFS file system, designed for data locality and bundled with Hadoop, overcomes the limitations of slow network access to data, it often leads to significant operational challenges as the storage needs grow significantly faster than the compute needs.
The solution to this problem is to disaggregate storage and compute, so that they can be scaled independently.
Download the following paper to see a solution that can do just that: the MinIO high-performance object storage server, designed for disaggregated architectures. You���ll see an overview of the architecture as well as a performance comparison pitting this object storage system against HDFS.