MapReduce is a programming model for processing large datasets in a distributed computing environment. It was developed by Google to process massive amounts of data across thousands of commodity servers. The MapReduce programming model consists of two functions - Map and Reduce - that process key/value pairs to perform filtering and sorting operations on large datasets in parallel across clusters.