UPDATED 08:13 EDT / DECEMBER 01 2011

Couchbase and Cloudera’s New Hadoop Connector, First for NoSQL

NoSQL database provider Couchbase and Cloudera developed a Hadoop connector that fuses together the advantages of both the companies’ offerings.  The Couchbase Hadoop Connecter leverages the Apache Sqoop plug-in to allow the migration of large datasets between Couchbase and Cloudera’s Distribution Including Apache Hadoop.

“Cloudera and Couchbase provide highly complementary technologies, and our integration gives customers an easier path to a complete ‘Big Data’ solution, as well as the enterprise-class support they need,” says Bob Wiederhold, CEO of Couchbase.

In addition to simultaneously expanding the two firms’ ecosystems and making their products more available to enterprise customers, the collaboration also ensured that the solution is the first certified connector ever released for a NoSQL database, though it’s not the first Hadoop Connector on the market. It was Cloudera which handled the certification part, thanks to its  Cloudera Certified Technology program.

The Hadoop ecosystem has seen a lot of activity recently, as its expansion is driven by its individual members’ own growth.

In fact, Netflix released a set of libraries for ZooKeeper, one of the open tools available as a part of the extended BigTop distribution. As the name would imply, this particular app is there to sync Hadoop deployments in a way, and Netflix’s release further enhances this functionality.

And earlier this month, HortonWorks, Yahoo’s big data spin off, appointed Mark Himelsteinas as its vice president of engineering, a tech veteran with a resume stretching across a period of two and a half decades.   The company released the news around the same time Salesforce-owned Ruby PaaS provider Heroku had a related product update. The service now features improved Hadoop support thanks to a partnership with Treasure-Data, a stealth startup, which provided the technology to cut the bulk of the resources that would be needed for manual setup via AWS.


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