HP Haven OnDemand Offers Big Data On Cloud Platform

HP has unveiled HP Haven OnDemand, an important milestone in its Big Data strategy that gives organizations of all sizes cloud-based access to key components of HP’s world class analytics platform.

HP Haven OnDemand, which runs on the HP Helion cloud, enables customers to analyze all forms of data, including business data, machine data, and unstructured, human information. Developers can also leverage this innovative web service, as well as engage with a robust and growing community to create next-generation applications and services.

“Thomson Reuters is the world’s leading source of intelligent information for businesses and professionals; we deliver critical information via a combination of innovative technology and industry expertise,” said Chris Blatchford, Director, Business Operations – Platform Group Thomson Reuters (@thomsonreuters). “For a recent hackathon event, we utilized HP’s Haven OnDemand platform to produce several innovative new applications over an incredibly short amount of time. In particular HP IDOL OnDemand’s intuitive interface and wide array of API’s allowed our developers to ‘think big’ and realize their vision.”

HP also announced that it will embed its unique Haven assets deeper into the HP Software application portfolio with new offerings that leverage Big Data analytics to help businesses transform their IT operations, power information governance and compliance, and achieve greater levels of information security.

Empowering the Entire Enterprise with Data Discovery and Next-Gen Applications. HP Haven is a powerful platform that allows organizations to put data and insights at the core of their business, transforming every aspect of an enterprise, from the data center to mobile, customer-facing applications at the edge. With HP Haven OnDemand, customers, partners, and developers can tap into key components of the HP Haven Enterprise platform to gain blazing fast insights, rapid time to value and analytic functionality on all types of data, within minutes.