[Rd] how useful could be a fast and embedded database for the R community?
Dirk Eddelbuettel
edd at debian.org
Wed Dec 24 20:22:54 CET 2014
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 | edd at debian.org
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