The performance and scaling numbers are nothing short of amazing.
A couple of early comments:
Getting Oriented with OrientDB.
OrientDB: A new Open Source NoSQL DBMS (google.com)
Caution: While I favor exploration of new data structures and technologies, only a limited amount of data will ever be available in any one structure. Even the reputed 102 billion items in the Amazon servers represent only part of the information available about those items.
I remain a fan of Barta’s virtual topic maps that are composed from disparate data sources.
From what I understand, Topic Maps are just presentation? I don’t think there’s any reason why OrientDB or a third-party abstraction layer could expose the database as topic maps.
I’m not familiar with Barta or “virtual” topic maps – please post link(s)?
Comment by Rasmus Schultz — November 8, 2010 @ 9:23 am
That was meant to say “could NOT expose”… 🙂
Comment by Rasmus Schultz — November 8, 2010 @ 9:24 am
No! Topic Maps are not just presentation!
Topic maps support navigation structures, which can be considered as “presentation,” but that is only one aspect of topic maps.
The other aspect of topic maps is that different identifications of the same subject can be seen as identifying the same subject.
This is referred to as “merging” in topic mp literature.
So, simply “exposing” a database doesn’t make it a topic map. 😉
The results of topic map processing can be stored in a database.
On Barta (read Robert Barta, co-editor of the Topic Maps Reference Model, former co-editor of the Topic Maps Query Language) see: kill -d ‘/dev/cat’.
Robert hasn’t been blogging much lately but you can find TM-1.56 at your nearest CPAN. Released yesterday.
Are you interested in topic maps software or standards?
Comment by Patrick Durusau — November 8, 2010 @ 10:39 am