The Apache Cassandra NoSQL open source database is used by Twitter, Digg, Facebook and other big online properties, but now a new startup is aiming for broader acceptance.
on 04/27/2010 – Made popular on 04/27/2010
Database Journal: "One of the key elements that helps to enable open source software applications to gain broader enterprise usage is the availability of commercial support options. In the case of the open source MongoDB NoSQL database, that commercial support is now coming from project backer 10gen."
Open source storage met open source big data this week in a deal between MapR and MongoDB, which announced a partnership to certify the latter's NoSQL database platform to MapR's Apache Hadoop distribution.
Most of you are already familiar with SQL database, and have a good knowledge on either MySQL, Oracle, or other SQL databases. In the last several years, NoSQL database is getting widely adopted to solve various business problems.
The battle to decide which database technology will define the future of Big Data continues to rage, but the NoSQL camp scored a victory today with the announcement of a new partnership between Talend and Couchbase. The agreement will connect Talend's open source Big Data platforms to the enterprise NoSQL software developed by Couchbase.
NoSQL isn't just for big servers anymore, as Couchbase Lite brings open-source database technology to the mobile form factor. Open-source NoSQL database vendor Couchbase is growing its portfolio from the server to mobile devices with its new Couchbase Lite initiative.
Is the NoSQL database trend a threat to Oracle (ORCL)? This is a big week for the company, which announced somewhat disappointing Q4 new software licenses yesterday. While cloud computing and hardware sales are Oracle's big challenges, you can't overlook the open source database wars as well.
Two major trends have emerged in the Big Data channel in recent months: First, NoSQL is becoming an increasingly popular database choice, and second, commitment to security is finally catching up with the drive to build Big Data infrastructures as quickly as possible.