The big data set stuff I generalized around has more to do with the runtimes involved. Most JVM gc systems for instance are moving collectors while the golang one isn't (or wasn't last I looked). This can cause slow downs in comparison to a comparable GC environment especially around large data sets in long running environments.
"And Go allows for more control about the memory layout of structs/classes and arrays." Is an absolutely true statement, and it means that for some classes of problems (namely systems that prioritize GC latency for throughput) golang might be faster. The opposite is also true, especially with regard to large interdependent data sets, the golang runtime handles those worse than most JVMs.
I'd also completely disagree with your statement "Also, if the data set can be batched, it's trivial to parallelize processing in Go, while it's a big hurdle in Java." Especially with regard to "fast". There are more & better high performance concurrency libraries in Java than there are in go.
All that said, I was really reacting to this line "This is much faster than C# or Java, which compile to an intermediate interface" which is utter nonsense.
In the end, talking about performance in such large grained ways is usually not valuable but I'm willing to say that golang performs in the same category of performance as most jvms and that calling go faster than java is nonsense unless you speak about very specific cases.