MADlib is an open-source library for scalable in-database analytics. It provides data-parallel implementations of mathematical, statistical and machine learning methods for structured and unstructured data.
The MADlib mission: to foster widespread development of scalable analytic skills, by harnessing efforts from commercial practice, academic research, and open-source development.
Please refer to the Read-Me file for information about incorporated third-party material. License information regarding MADlib and included third-party libraries can be found inside the license directory.