Last month, the Machine Learning researchers at Carnegie Mellon launched GraphLab, an interesting graph data processing system. It is released under the BSD license and is written in C++.

By targeting common patterns in ML, we developed GraphLab, which improves upon abstractions like MapReduce by compactly expressing asynchronous iterative algorithms with sparse computational dependencies while ensuring data consistency and achieving a high degree of parallel performance.

Source: GraphLab Overview