Name: IBM Data Virtualization Manager for z/OS
Brand: IBM

Overview

Connect to IBM Z data faster

IBM® Data Virtualization Manager for z/OS® provides virtual, integrated views of data located on IBM Z®. It enables users and applications to have read and write access to IBM Z data in place, without having to move, replicate or transform the data.

Data Virtualization Manager for z/OS facilitates the integration of independently designed data structures, allowing them to be used together while incurring minimal additional processing costs. Traditional data movement approaches can negatively impact the opportunity to benefit from data where and when it is needed. By unlocking IBM Z data using popular, industry-standard APIs, like SQL, Data Virtualization Manager for z/OS you can save time and money.

A PrestoDB Connector provides IBM® watsonx.data™ ready access to IBM Z data sets through IBM® DVM for z/OS®. watsonx.data is the hybrid, open data lakehouse to power AI and analytics with all your data, anywhere.

Features

Unlock more value from IBM Z data

Access transactional data stored in IMS, VSAM and other mainframe and non-mainframe data sources. Provide applications and users with direct access to current IBM Z data without requiring data movement or replication.

This is a Mainframe operating systems illustration.

Use industry-standard APIs and interfaces to work with IBM Z data. Reduce dependence on specialized data-store expertise that can be difficult to find and expensive to hire.

Combine IBM Z and non-mainframe data to support hybrid cloud, analytics and AI initiatives. Accelerate application modernization while extending the value of existing IBM Z investments.

Transform complex data structures into familiar table formats accessible through standard APIs such as SQL. Simplify access to mainframe data and help teams build applications more efficiently.

Three people interacting with a bar chart on a touch screen connected to a server and a data stream via the secure IBM Cloud

Use cases

Put your IBM Z data to work

Modernize existing legacy applications

Modernize IBM Z applications with direct real-time read and write access to relational and traditional non-relational mainframe and non-mainframe data sources. Access IBM Z data sources such as IBM® Db2® for z/OS®, Virtual Storage Access Method (VSAM), IBM® IMS®, non-IBM mainframe data sources, and more, without the need for mainframe skills

The most current data for your cloud applications

Combine data across multiple mainframe and non-mainframe data sources on demand and integrate data from disparate sources in real-time. Today, organizations need access across different data stores for richer and more compelling customer applications

The most current data for your data fabric

Make IBM Z data available for ready access within a data fabric. Mainframe data is often some of the most valuable data that an organization manages. It is essential for understanding the state of the business and offers the greatest predictive value for machine learning (ML) and AI models.

Essential data for your lakehouse

Access mainframe data from within the watsonx.data environment seamlessly. Reduce the time for users to access and analyze data from mainframe systems. Apply significant compute resources to a complex analysis without impacting mainframe operational processing. Use the most up-to-date enterprise data in analytics projects and ML or AI initiatives.