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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

...ing code. You're proposing to compete with the likes of sqlite and berkeley db -- not small competition, with excellent performance characteristics when used properly. You also used the 'b'illions word in reference to data sets - really? best, --e On Tue, Dec 23, 2014 at 11:31 AM, joanv <joan.iglesias at live.com> wrote: > 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 program...

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. | |...

On Wed, Dec 24, 2014 at 7:37 PM, joanv <joan.iglesias at live.com> wrote: > I'm sorry, but I cannot show code. Then can you stop using the word "release". To release means to let something go, preferably out into the wild. I can't even find a binary "release" on that site. Call it the first "v...

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