#adbms

Distributed database system A distributed database is basically a database that is not limited to one system, it is spread over different sites, i.e, on multiple computers or over a network of computers. A distributed database system is located on various sites that don’t share physical components. This may be required when a particular database needs to be accessed by various users globally. It…

Brian Smith (Datameer Regional Director of Sales):

DAS is an open book at every stage of the data pipeline, with plug and play support at each phase – integration, analysis and visualization. Under the covers, DAS generates Java/MapReduce code that runs natively on the Hadoop cluster. All current Hadoop distros are supported – we’re Switzerland when it comes to platform support for Apache, Cloudera, MapR, IBM and the rest, we run all of it in a browser on Windows, Mac and Linux.

As always I won’t comment on statements referring to “first” or “best”. But I find Brian Smith’s assessment of the Hadoop economics very accurate:

The economics are compelling — Hadoop is moving out costly analytic databases and warehouses, driving IT to re-look at ADBMS sales cycles, shifting IT dollars and vendor roadmaps, and generally wreaking havoc in the traditional vendor community. We’ve gone from one or two distributions to nine in the last year! And, literally every vendor in the BI/DBMS space has a Hadoop connector, the latest being the recent Oracle announcement. Everybody is on board this train — All this based upon the premise of unlimited scale and data variety at a fraction of traditional costs.  Technical challenges exist, but its clear that there’s a sea change.