Search Rocket site

Rocket Data Virtualization v2.1 - Features

27 October, 2014
Announcement

Rocket Software is pleased to announce the general availability of Rocket Data Virtualization version 2.1, the industry’s only mainframe data virtualization solution for universal access to data, regardless of location, interface or format.

Rocket Data Virtualization Features

Any-to-Any Integration - The solution enables data from multiple, disconnected sources - mainframe, distributed, Big Data, mobile – 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.

Breadth of Support for Data Providers

  • Big Data - BigInsights, Hadoop, MongoDB, and others
  • Distributed data - Db2 LUW, Derby, Informix , Oracle, SQL Server, Teradata, Sybase, and others
  • Mainframe data - VSAM, Db2 for z/OS, IMS DB, Adabas, Physical Sequential, and others
  • Mainframe programs/screens - CICS, IMS TM, IDMS, Natural, Batch, TN3270
  • Machine generated data - Ability to capture mainframe machine generated data (SMF records, Syslogs, and others) and seamlessly integrate with operational intelligence applications

Breadth of Support for Data Consumers

  • Cloud, Mobile, Web, Analytics, Search, ETL, Batch, Transactional Data
  • Interfaces: ODBC, JDBC, REST, SOAP, JSON, HTTP, HTML, XML

Advanced Data Agility - Rocket DV provides increased flexibility for sharing and integrating mainframe with other data sources and applications.

Universal Db2 Support - applications using Db2 can now seamlessly integrate with any non-Db2 data source with the same ease of functionality

Asymmetrical Request/Reply - any mainframe application (Batch, Started Task, IMS, IDMS, Natural) can interface with DV to request data for itself or another application

Landing Zone Support - ability to combine disparate data and make available to landing zones supporting ETL, Hadoop, analytics, data quality

High Performance Data Architecture - The need for real-time information requires a high performance data architecture that can handle the extreme volumes and unique requirements of mainframe data. Rocket DV includes several query optimization features, such as parallel I/O and MapReduce. MapReduce significantly reduces the query elapsed time when accessing large mainframe non-relational databases by splitting queries into multiple threads that read the files in parallel.

Reduced Mainframe Overhead - Rocket DV is unique in its ability to run up to 99% of its data virtualization processing in the mainframe System z Integrated Information Processor for significantly reduced mainframe total cost of ownership.

Easy, Intuitive Development - Rocket DV Studio is an Eclipsed-based integrated development environment for data discovery, creation of virtual tables/views, metadata management, and test interfaces.

How to Download

General Availability on October 27, 2014. Initially, this release will not be available for download on the Rocket FTP site. Please contact Rocket Support or contact your Account Executive for assistance.

Discover More

For more information, read our brochures and watch our video on Rocket DV by visiting our Rocket DV Portal Page.