Apache Spark is an open-source, distributed computing system that provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.
Apache Spark is like a super-fast engine for big data that can process large amounts of information really quickly and efficiently, making it easier to analyze and get insights from your data.
Apache Spark offers in-memory data processing capabilities, which significantly speeds up operations compared to traditional disk-based systems like Hadoop MapReduce. It supports multiple data-processing paradigms (such as batch processing, streaming, machine learning, and graph processing) within a single platform, making it versatile.