I’ve been playing with Hadoop quite a bit lately. However, I’m not deeply in love with Hadoop. If something better came along, I wouldn’t shed too many tears. Particularly if that something better wasn’t written in Java.

That’s why I was excited to check out the cloud mapreduce implementation of MR, which claims to have a 60x speed gain on Hadoop in only 3kLoC. This incredible feat was accomplished by using more of the Amazon cloud “os” than Hadoop supports (it’s built around S3 & SQS) and eliminating the task tracker node.