As real-time applications become more mainstream and companies continue to collect massive amounts of data, users have embraced Apache Spark for its ability to do sophisticated analytics at scale. First developed in the AMPLab at UC Berkeley, Apache Spark is a powerful open-source processing engine built around speed, ease of use and sophisticated analytics that's powering millions of real-time applications every single day. Spark lets you quickly write applications in Java, Scala or Python and supports SQL queries, streaming data, machine learning and graph data processing. Developers can use these capabilities stand-alone or combine them to run in a single data pipeline use case. Spark has quickly become the largest open-source community in big data, with more than 750 contributors from 200-plus organizations. In this slide show, eWEEK combed through online archives and the Apache Spark Website and worked with in-memory database company MemSQL to develop a list of companies that are using Spark to support and grow their businesses.