Apache Spark was originally created by Matei Zaharia in 2009 while he was a PhD student at the University of California, Berkeley, and later became an Apache Software Foundation project. It is a powerful open-source analytics engine designed for processing massive amounts of data quickly across single computers or large clusters. Organizations use Spark for data engineering, real-time data streaming, SQL analytics, machine learning, and large-scale data science projects. Users love Spark because it is fast, scalable, supports multiple programming languages like Python, SQL, Scala, Java, and R, and can handle both batch and streaming workloads in one platform. Trusted by thousands of companies, including many Fortune 500 organizations, Spark has become one of the most widely used big data processing engines in the world. The best part is that Apache Spark is completely free to use under the Apache 2.0 open-source license, although cloud providers may charge for the infrastructure used to run it.