A relatively new poster presentation (appeared in SC 13) is:
Towards Benchmarking Graph-Processing Platforms. by Yong Guo (Delft University of Technology), Marcin Biczak (Delft University of Technology), Ana Lucia Varbanescu (University of Amsterdam), Alexandru Iosup (Delft University of Technology), Claudio Martella (VU University Amsterdam), Theodore L. Willke (Intel Corporation), in Super Computing 13 pdf
The above Figure from this paper shows that GraphLab is the fastest of all the compared system on BFS task (pink line).
Recently I got from Matt Grober (Walmart) a more recent paper from the same group: "How Well do Graph-Processing Platforms Perform? An Empirical Performance Evaluation and Analysis" Y. Guo, M. Biczak, A. Varbanescu, A. Iosup, C. Martella, T. Willke IEEE International Parallel and Distributed Processing Symposium IPDPS 2014. pdf
Other resources:
- Recent academic paper which benchmarks GraphLab vs. Mahout: http://bickson.blogspot.com/2013/07/benchmarking-of-machine-learning.html
- Facebook report where they admit they did an evaluation of graphlab (but no real performance is reported) https://www.facebook.com/notes/facebook-engineering/scaling-apache-giraph-to-a-trillion-edges/10151617006153920
- Amazon CTO writes about GraphLab in his blog: http://bickson.blogspot.co.il/2013/08/amazons-cto-writes-on-graphlab-in-his.html
- Intel labs report on graphlab vs. mahout: http://bickson.blogspot.com/2013/03/intel-labs-report-on-graphlab-vs-mahout.html
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