- Sales & CRM
- Business Intelligence
GoGrid has launched a big data analytics tool, aiming to help businesses take advantage of the deluge of data hitting the companies using cloud computing.
The GoGrid Big Data Solution is based on the firm’s hybrid cloud offering, where it offers Infrastructure as a Service (IaaS) on either a multi-tenant basis or with dedicated servers within its data centres.
With the new launch, businesses can take advantage of the single-tenant environment to house their data and analyse it using big data tools like Cloudera’s Distribution of Hadoop (CDH). However, if they then have a sudden spike in traffic where they need more capacity, they can take advantage of GoGrid’s cloud servers and burst out into its multi-tenant environment.
“The GoGrid cloud is about automation and allowing customers to scale efficiently,” said Jeffrey Samuels, chief marketing officer at the IaaS provider.
"With the introduction of the new Big Data Solution, GoGrid provides businesses with a reliable, high-performance hybrid cloud infrastructure specifically designed for big data workloads in the cloud. We’re excited that we’ve already helped many customers optimise their Hadoop clusters on GoGrid and created this flexible hybrid solution to deliver the performance and scalability required."
Martini Media, a digital advertising agency, has already deployed the solution and said it was "everything we wanted," with the hybrid nature of the solution being the key differentiator.
The solution is far from cheap though. The bundle, featuring one name node and three data nodes, along with GoGrid Professional Cloud Plan support and services and the online management tool, comes in at $3,800 per month.
However, it is offering customers a 20 per cent discount if they sign up for a full year.
Hadoop was named as the most downloaded big data tool back in February in the inaugural index from Jaspersoft. The software is used by a range of vendors, from small open source outfits like Splunk through to big legacy vendors like Oracle.