Austin, TX (PRWEB) August 07, 2012
Infochimps, the leading Big Data Platform-as-a-Service provider for the enterprise, today announced updates to the Infochimps Big Data Platform, the companys Big Data infrastructure solution for the enterprise. As a pre-built, managed and fully optimized solution, enterprises can get Big Data projects up and running in less time, for less investment and without hiring new talent. The system helps customers achieve real-time data analytics, cross-channel marketing campaign optimization, clickstream web analysis, and more.
The Infochimps Platform is the fastest path for enterprises to start tapping the power of Big Data right now, said Joe Kelly, co-founder and CEO of Infochimps. Running Hadoop clusters or performing real-time analytics doesnt have to require expensive integration or specialists. The Infochimps Platform is a simple yet powerful approach for deploying Big Data environments and apps in the cloud, on-demand. Were very proud of what is now a mature and fully-hosted enterprise offering.
In addition to offering a fully hosted version of the Platform to its customers, Infochimps is releasing a re-imagined Data Delivery Service functionality that creates a more seamless integration to a customer’s existing data, as well as real-time stream processing and analytics capabilities.
In the same way that a SaaS provider like Salesforce.com lets you focus on improving sales, not managing sales system infrastructure, Big Data should feel the same, explains Dhruv Bansal, Infochimps co-founder and Chief Science Officer. Infochimps lets you focus on generating insights from data, not managing Big Data infrastructure.
Success in todays fast-paced enterprise environment demands data-driven decisions. To that end, it is critical that corporations have a robust, plug-and-play Big Data platform capable of quickly and seamlessly combining data streams to deliver data insights at scale throughout the organization — all for less than the cost of doing it in-house, speeding implementation by months.