Re:I/O Is Faster Than CPU – Let’s Partition Resources and El...
by dustingetz on Friday May 03, 2019 @12:26PM
(#19819772)
http://www.datomic.com
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Re:I/O Is Faster Than CPU – Let’s Partition Resources and El...
by sdegutis on Friday May 03, 2019 @12:56PM
(#19820085)
Datomic is just a Prolog logical layer on top of traditional RDBMS (e.g. Postgres, H2, etc).
Re:I/O Is Faster Than CPU – Let’s Partition Resources and El...
by lame88 on Friday May 03, 2019 @01:42PM
(#19820515)
I'd agree it probably doesn't quite apply to this case, but there are similarities from what I've researched, and I think that description doesn't quite do it justice. First being that datomic is temporal with full on-demand history, which I think is a big deal; and has a serialized writer, n-reader architecture. As to how it may relate to this problem, I believe peer applications (in-process) for on-prem are able to exploit locality with the full indexes in-memory without round-trip queries - also the case for ions with datomic cloud. I'll let anyone more experienced clarify or correct me. The concept at least is really cool; I hope to give it a real test drive some time soon.
Re:I/O Is Faster Than CPU – Let’s Partition Resources and El...
by dustingetz on Friday May 03, 2019 @01:34PM
(#19820424)
No, Datomic storage is unbundled, prod configurations target basically DynamoDB.