DataMirror Announces Enhanced Oracle RAC Support in Latest Versions of its Powerful Real-Time Data Integration Solutions

Market Wire, September, 2006

DataMirror® (TSX: DMC), a leading provider of real-time data integration and data protection solutions, today announced that it has extended its unique log-based Change Data Capture (CDC) technology for Oracle RAC (Real Application Clusters) environments, enabling customers to make better operational and tactical business decisions by distributing up-to-the-minute information across the enterprise, while their Oracle-based applications run continuously at peak capacity throughout the day.

Rather than using triggers or performing queries against the database, Transformation Server 5.4 and iReflect 3.0 - the latest versions of DataMirror's powerful real-time data integration solutions - incorporate best-of-breed log-based CDC to capture changes in a database by reading the redo logs of every node in a cluster and then distributing the changed data to other data stores or applications in the order the transactions occurred, thereby providing a single view of the organization with guaranteed data integrity. With CDC, data is processed throughout the day as changes occur, rather than during a nightly batch window, delivering the most current information and accurate business intelligence. Organizations also eliminate redundant data transfer, free up their batch window for other tasks, and save network bandwidth.

"As more and more organizations maintain 24/7 operations, they need to ensure that their mission-critical business applications are highly accurate and always available regardless of what applications created the data, what environment it's running in, or what database it's stored in," said Paul O'Hagan, Director of Product Management, DataMirror Corp. "The latest versions of Transformation Server and iReflect allow users to send data bi-directionally from one Oracle RAC environment to another RAC environment, to a data warehouse or even to multiple destinations, with changes reflected in the same order as they occurred. Data is reliable and available across the enterprise 24/7, allowing organizations to make more informed business decisions and increase revenue opportunities."

Oracle RAC is a cluster database with a shared cache architecture that overcomes the limitations of traditional shared-nothing and shared-disk approaches to provide highly scalable and available database solutions for business applications.

Transformation Server 5.4 streamlines business processes and applications within the enterprise by supporting cross-platform data integration. For more information about Transformation Server, visit www.datamirror.com/ts .

DataMirror iReflect 3.0 distributes and consolidates data to and from different versions of Oracle databases over geographically dispersed systems, thereby improving centralized reporting and on-demand analytics. For more information about iReflect, visit http://www.datamirror.com/products/ireflect .

About DataMirror

DataMirror (TSX: DMC), a leading provider of real-time data integration and data protection solutions, improves the integrity and reliability of information across all of the systems that create and store data. DataMirror's flexible and affordable integration solutions allow customers to easily and continuously detect, translate, and communicate all information changes throughout the enterprise. DataMirror helps customers make better decisions by providing access to the continuous, accurate information they need to take timely action and move forward faster. More than 2,100 companies have gained tangible competitive advantage from DataMirror software. DataMirror is headquartered in Markham, Canada, and has offices around the globe. For more information, visit www.datamirror.com .

Note to Readers: This press release contains certain statements that constitute forward-looking information or statements within the meaning of applicable securities laws ("forward-looking statements"). Such forward-looking statements involve known and unknown risks, uncertainties and other factors that may cause the Company's actual results or performance to differ from the projected results or performance contained in such forward-looking statements. Forward-looking statements may also include, without limitation, any statement relating to future events, conditions or circumstances. DataMirror cautions you not to place undue reliance upon such forward-looking statements, which speak only as of the date they are made. The words "anticipate", "believe", "estimate" and "expect" and similar expressions are intended to identify forward-looking statements. Numerous important factors affect DataMirror's operating results and could cause DataMirror's actual results to differ materially from the results indicated by this press release or by any forward-looking statements made by, or on behalf of, DataMirror, and there can be no assurance that future results will meet expectations, estimates or projections. These factors include, but are not limited to, the following: the difficulty of developing, marketing and selling new products successfully; variability of quarterly operating results; dependence upon the continued growth and success of DataMirror's software products; competition; rapid technological change and new product introductions; dependence upon continued growth in the database and enterprise data integration markets; dependence upon relationships with complementary vendors and distribution channels; the ability to recruit and retain key personnel; risks of international operations, including currency exchange rate fluctuations and global economic conditions; possible software errors or defects; possible infringement claims by third parties; and other factors discussed in DataMirror's Annual Information Form and other periodic filings with applicable securities regulators. Should one or more of these risks or uncertainties materialize, or should assumptions underlying the forward-looking statements prove incorrect, actual results may vary materially from those indicated in any forward-looking statements. DataMirror disclaims and does not assume any obligation to update these forward-looking statements.


 

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