Intel has unveiled a new open source software suite which is aimed at helping businesses analyse big data more easily, with swifter results.
The Intel Data Platform is designed to import, manage and crunch through big data, and it’s based on the Intel Distribution for Apache Hadoop, furthering the latter’s levels of reliability and security.
It offers streaming data processing, graph processing, and interactive analytics which Intel boasts will let businesses extract more from their sprawling data sets than Apache Hadoop. Further insights into big data will also be garnered via the Intel Data Platform: Analytics Toolkit which can be used to build a predictive modelling environment – helping to uncover previously hidden relationships in data sets with greater ease.
Intel says the toolkit is built on a foundation of common algorithms, which IT staff can easily customise and deploy, so the platform will be relevant across multiple industries from finance to healthcare.
Businesses will be able to use the new platform to analyse, for example, retail purchases in depth, or to chew through social media data and weigh up the success of a celebrity promotion of a new product.
The Intel Data Platform is set to launch in the second quarter of 2014, and will come in two flavours – the Enterprise Edition and Premium Edition. The former will be available free of charge, while the latter will require a yearly subscription fee for providing technical support, security alerts and extra features (which will be rolled out on an ongoing basis).
Intel didn’t mention the exact price of the Premium Edition subscription.
Boyd Davis, VP and general manager of Intel’s Datacentre Software Division, commented: “As big data shifts from hype to reality, Intel is helping to break down the barriers to adoption by easing complexity and creating more value. Much like an operating system for big data processing, the Intel Data Platform supports a wide variety of applications while providing improved security, reliability and peace of mind to customers using open source software.”