The document reports on a project comparing the performance of Hadoop MapReduce and Spark in-memory frameworks for big data processing. The authors analyzed execution times for running a PageRank benchmark on various datasets using each framework. They found that Spark performed better for smaller datasets with multiple iterations due to its in-memory caching. However, for larger datasets MapReduce was more efficient due to Spark's memory requirements not being met by the cluster configuration.