Apache® Spark™ is an open-source cluster computing framework with in-memory processing to speed analytic applications up to 100 times faster compared to technologies on the market today. Developed in the AMPLab at UC Berkeley, Spark can help reduce data interaction complexity, increase processing speed and enhance mission-critical applications with deep intelligence.
Highly versatile in many environments, Spark is known for its ease of use in creating algorithms that harness insight from complex data. Spark was elevated to a top-level Apache Project in 2014 and continues to expand today.
IBM is committing to the Apache Spark project with investments in design-led innovation and broad-scale education programs to promote open source innovation and accelerate intelligence into every application.
