Cloud Infrastructure Provider Joyent Joins Big Data Game
Cloud Infrastructure Provider Joyent Joins Big Data Game by UCStrategies Staff
Last week, Joyent, a cloud infrastructure provider, entered the big data game. The company launched an Apache Hadoop service which will allow enterprises to process high-performance data applications.
According to the CTO and founder of Joyent, Jason Hoffman, Hortonworks Data Platform will be utilized by Hadoop and will operate on high-performance cloud infrastructure provided by Hadoop.
Hoffman said: “Our feeling about the cloud is that its advancement is being driven very much by big data services where people want to do real-time analytics and large-scale analysis of business data.”
For businesses which analyze large data sets, cloud-enabled big data systems can be used, because compared to traditional software programs, they are quickly accessible, scalable and significantly less expensive.
The Hadoop service provided by Joyent offers data storage which can capture, analyze and access data in any format. Data management will also be available, and this can be used to process, monitor and operate Hadoop, and data platform services can secure, archive and scale data.
Altoros Systems conducted a study which highlighted that the disk input/output speed of Joyant's Hadoop clusters will be both faster and less expensive compared to other similar infrastructure.
Hadoop's big data services are being sought after by cloud providers who are very keen to offer it to customers as the demands for data increases.
A Hadoop framework is also distributed by Amazon Web Services. This framework is based on the company's Elastic Compute Cloud and Simple Storage Services; both Microsoft and Hortonworks are making Hadoop on Microsoft Windows Azure available in preview – this is called HDInsight. Furthermore, IBM is promoting Hadoop on SmartCloud Enterprise, and Rackspace is planning to release a Hadoop service on its cloud infrastructure soon. (CY) Link