Apache Spark vs Hadoop

Apache Spark is a modern, fast in-memory computing framework that processes data 10-100x faster than Hadoop's MapReduce, while Hadoop is a distributed storage and batch processing ecosystem that prioritizes fault tolerance and cost efficiency. Spark has largely replaced Hadoop for most new big data workloads due to superior performance, though Hadoop's HDFS remains widely used for data storage.