search for: vulcandb

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. Regards and thank you -- View this message in context: http://r.789695.n4.nabble.com/how-useful-could-be-a-fast-and-embedded-database-for-the-R-community-tp4701051p4701075.html Sent...

...ready 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 billi...

...ver the investment. If I find a way to recover the investment, > compatible with an open source way of business, the project will be open > source, but first of all, I have to find the "way". You say the "Open Spartacus" project [http://www.openspartacus.org/] from which VulcanDB came failed "Due to the lack of funding". What was your personal relationship with that project? In what way, apart from in name, was that "Open"? I can't find source code or binary releases. Just a fancy single-page website with *all* the buzzwords. Does this failure not te...

Dear all, I'm developing a new database with the ability to perform very fast seek, insert, and delete operations. Also is able to perform very fast comparison of datasets. It has been designed to work embedded into other programs programmed in R, Fortran, C++, etc. It can manage efficiently billions of numeric datasets in a single machine. Right now I do not know in what fields of the R