Hadoop's fundamental flaw is that it isn't designed for tiny data sets. Due to its large capacity architecture, HDFS is unable to enable the random reading of tiny. Hadoop is only ideal for batch processing and not for streaming data. As a result, overall performance suffers. The MapReduce framework does not fully use the Hadoop cluster's memory. Hadoop is a framework for batch processing. It implies that it accepts a large quantity of data, processes it, and outputs the result. Batch processing is particularly efficient for processing large amounts of data, but it is dependent on the size of the data being processed and the system's computational capability, which might cause a substantial delay in the output. Hadoop isn't designed to handle real-time processing.