DataStax, a startup commercializing the Cassandra database, has fused Hadoop atop Cassandra to provide web applications fast access to data processed by Hadoop, and Hadoop fast access to data streaming into Cassandra from web users.
With the Hadoop Summit taking place this week in San Jose, California, vendors supporting the open-source data-analysis platform are rushing new products to market.
There are a lot of interesting new features and improvements in the newly released Cassandra 1.1 version to cover them all here, but here’s the gist of them…
Apache has dished out another serving of Cassandra, the open source NoSQL database popular for handling big data. The improvements speak to a maturing NoSQL database that’s well-suited for big data deployments.
The NoSQL market continues to red hot with everyone throwing their hat into the ring. One of the stalwarts of the segment, Apache’s Cassandra project just released the 1.1 version of the NoSQL database and it has significant new features among which are improved caching, a revised query language and better Hadoop integration.
I wanted to learn more about the new version of the commercial version of Cassandra, DataStax Enterprise 2.0. I did interview Jonathan Ellis, CTO and co-founder of DataStax and project chair of Apache Cassandra.
At the Structure Data 2012 conference in New York this week, DataStax, which as commercialized the Apache Cassandra NoSQL database originally created by Facebook and open sourced as an Apache project, has bolted on search to the data store and a plug in that lets it also search and index application logs.
With the GigOm Structure Data conference going on this week in NYC, there is lots of news around the still red hot Big Data space.
Today, a developer can work on a platform that integrates Hadoop, Cassandra, and Solr on a single cluster… Hey! Those technologies are used at another major company I’ve read about… what was their name again?