On 24 December 2014 at 10:49, joanv wrote: | I've already done some benchmarks, again leveldb and sqlite, are quite slow | compared with my release. | | They cannot be used very intensively in a huge computation, because the low | performance. | | Yes, billions ( American ones : thousands of millions) with a generous RAM. | | More details at: www.vulcandb.com | | My main concern, is where can feet better such a database. In what fields, | or in what kind of calculations.
I second what Elijah said: "working code". So far I see just a (very pretty) website, but stricly no code. Not good. I work in a industry where we a) do use billions of time series points and b) are latency and performance sensitive We like flat (binary) files as well as mmap a lot, and do a lot of C++ for performance where we'd never ever dream about embedding R. But we do course use R for analysis and then embed quite some C++ into to "do stuff". We use Redis (out of process) for a few things, but obviously not "raw data". I like what I see from influxdb.com, but we are now off-topic for this list. So colour me "interested" -- but please show some code, or people will tune out pretty quickly. Dirk -- http://dirk.eddelbuettel.com | @eddelbuettel | e...@debian.org ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
