Traditional approaches to data integration that rely on moving data, such as ETL technologies, are struggling to handle the extreme volume and diversity of data. There is simply too much data to physically move it all into a data warehouse. New requirements to support advanced analytics, mobile and Cloud initiatives demand a faster, more agile approach to data integration. Data virtualization has emerged to address the need for real-time, universal access to data, regardless of format or location. Rocket Data Virtualization enables data from multiple, disconnected sources to be virtually integrated into a single, logical, data source and shared with any application, providing the right data, in the right format, at the right time. Key Features:

• Breadth of data providers
• Big Data, mainframe, distributed, machine data, syslogs
• Breadth of data consumers
• Business Intelligence, Analytics, Cloud, Mobile, Web
• Integrate DB2 applications with wide range of data sources
• on and off mainframe
• Reduce reliance on high cost, high complexity ETL technologies
• Extend the value of your data warehouse with real-time data virtualization

With Rocket Data Virtualization, mainframe data can be cost effectively integrated "in-place" with up to 99% of the data virtualization processing running in the mainframe System z Integrated Information Processor. To mainframe customers, that is a significant savings in processing costs typically expended for ETL technologies. Rocket Data Virtualization provides a more agile, modern way to share data across your enterprise.