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Software AG Expands Real-Time Data Interoperability for Mainframe and Open Systems

June 23, 2008 - Software AG, a provider of business infrastructure software, extended the company’s commitment to fostering real-time, standards-based data interoperability between mainframe and open systems with the release of two new products. Users of the company’s Natural programming language can now take advantage of Natural SQL Gateway to more easily access data stored on leading open systems SQL databases, including Oracle, DB2, Sybase and Microsoft SQL Server. Event Replicator for Adabas on Open Systems provides real-time replication of Adabas data across databases running on popular open systems, including UNIX, Linux and Windows.

 

These releases are part of Software AG’s $50M commitment annually over the next three years to research and development for Adabas and Natural. As one of the world’s most deployed mainframe databases, Adabas serves as the foundation for core transactional systems for one in five of the Global 500. Natural, Software AG’s widely adopted business application development and deployment environment, is recognized for the speed and efficiency it offers for creating highly-scalable enterprise systems running on either mainframe or open systems platforms.  

 

“Our customers tell us that data is what drives their businesses. As a result, they are under increasing pressure to leverage it across as many platforms as possible. At the same time, they also need to protect its integrity as maintaining ‘one version of the truth’ is often critical to business operations and continuity,” said Dr. Peter Kürpick, Software AG’s chief product officer and member of the company’s executive board. “Our latest releases respond to these needs by providing users with a ‘faster, cheaper, better’ way of exchanging real-time Adabas and Natural data between mainframes and other enterprise systems. This means that enterprises can use, process and manipulate information in new and more powerful ways with full confidence in the underlying integrity of the data. From an operational perspective, we’ve significantly improved developer productivity, which lowers development costs while ensuring that new solutions are delivered to the business faster.”

 


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