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I worked on the BigQuery team and happy to answer any questions you may have. There are quite a few AWS customers running on BigQuery. (See [0], [1] [7], [8] )

I'll offer some resources:

- A session from last Google NEXT, where Yahoo, NY Times, and Blue Apron detail their experience with migrating to BigQuery [0]

- A session from previous Google NEXT, where Kabam Games detailed their experience with migrating to BigQuery (and running the rest of their workload on AWS) [1]

- A blog "15 things you probably didn't know about BigQuery" [2]

- A blog detailing what BigQuery means by "fully managed" [3]

- A blog offering some details on most recent iteration of Dremel "In-memory query execution in Google BigQuery" [4]

- A blog describing Capacitor, the opinionated storage format that replaced ColumnIO (on which Parquet is based) [5]

- "BigQuery Under The Hood" [6]

- Since you specifically asked about Load Performance, [9]

( A wholly redundant disclosure that I work at Google Cloud)

[0] https://www.youtube.com/watch?v=TLpfGaYWshw

[1] https://www.youtube.com/watch?v=6Nv18xmJirs

[2] https://medium.com/google-cloud/15-awesome-things-you-probab...

[3] https://cloud.google.com/blog/big-data/2016/08/google-bigque...

[4] https://cloud.google.com/blog/big-data/2016/08/in-memory-que...