DATallegro’s technical strategy
Few areas of technology boast more architectural diversity than data warehousing. Mainframe DB2 is different from Teradata, which is different from the leading full-spectrum RDBMS, which are different from disk-based appliances, which are different from memory-centric solutions, which are different from disk-based MOLAP systems, and so on. What’s more, no two members of the same group are architected the same way; even the market-leading general purpose DBMS have important differences in their data warehousing features.
The hot new vendor on the block is DATallegro, which is stealing much of the limelight formerly enjoyed by data warehouse appliance pioneer Netezza. (After some good early discussions, Netezza abruptly reneged on a promise a year ago to explain more about its technology workings to me, and I’ve hardly heard from them since. Yes, they’re still much bigger than DATallegro, but I suspect they’ve hit some technical roadblocks, and their star is fading.)
| Categories: DATAllegro, Data warehouse appliances, Ingres, Open source | 17 Comments |
Oracle, graphical data models, and RDF
I wrote recently of Cogito’s high-performance engine for modeling graphs. Oracle has taken a very different approach to the same problem, and last Monday I drove over to Burlington to be briefed on it.
Name an approach to data management, and Oracle has probably
- Hacked together a version on a consulting contract
- Packaged it up for other customers in the same industry
- Set to work on improving and generalizing it
- Integrated it into SQL as a preference over supporting standalone data manipulation languages for it
- Stopped short of being 100% competitive in that functionality
(At least, that’s the general template; truth be told, most of the important cases deviate in some way or other.)
| Categories: Oracle, RDF and graphs | 2 Comments |