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HAMA is a distributed computing framework based on BSP (Bulk Synchronous Parallel) computing techniques for massive scientific computations (e.g., matrix, graph, network, ..., etc), Currently being incubated as one of the incubator project by the Apache Software Foundation.

The greatest benefit of adoption of BSP computing techniques is the opportunity to speed up iteration loops during the iterative process which requires several passes of messages before final processed output is available. (especially, such as finding the shortest path, and so on.)

Hama also provides an easy-to-program and flexible programming model as compared with traditional model of Message Passing, and also compatible with any distributed storage (e.g., HDFS, HBase, …, etc), so you can use the Hama BSP on your existing Hadoop clusters.

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