Jonathan Ellis, CTO of DataStax and project chair for Apache Cassandra, keynoted at Cassandra SF 2011.
Last week, in a piece from our friends at GigaOM, Database Grandpoobah Mike Stonebraker announced that Facebook’s continued dependance on MySQL was “a fate worse than death,” insisting that the social network’s only route to salvation is to “bite the bullet and rewrite everything.”
One of the key, driving changes to IT infrastructure today is the exponential growth in the areas of data, storage, processing power and bandwidth utilization.
Big data — as in managing and analyzing — large volumes of information, has come a long way in the past couple of years.
Established vendors and startups alike have spearheaded advanced technologies for managing petabytes of data that have sprung from social computing and data analysis applications, commonly called Big Data.
CQL will look very familiar to anyone who knows SQL, with most of the usual keywords – Select, Use, Update, Drop and Create are all there and work pretty much as you expect.
Both HBase and Cassandra can deal with large data sets, and provide high transaction rates and low latency lookups.
Nearly five months after 0.7.0 arrived, the Apache Cassandra development team has released version 0.8.0 of its highly scalable, column-oriented, NoSQL database.