Apache Spark

About

Apache Spark is a leading free and open-source, multi-language engine developed in the United States, primarily used for executing data engineering, data science, and machine learning tasks on single-node machines or clusters. It excels in big data analytics, business analytics, and machine learning, offering features like parallel computing and data analytics. While not a traditional company with a CEO or employee count, it is a widely adopted project, available on platforms such as Self-Hosted, Docker, and Python. Its robust capabilities position it as a key player in the big data ecosystem, competing with solutions like Disco MapReduce, S2, ILUM, Gigasheet, Timeplus Proton, and Upsolver. The project maintains an active presence on GitHub and Twitter, reflecting its community-driven development.