IBM Leverages DataMirror Acquisition for Real-Time Change Data Capture

Reducing operational costs and increasing business productivity are high priorities for enterprises in the current economic climate. This has raised interest in a number of information management projects ranging from dynamic data warehousing, master data management, application migrations/consolidations, operational BI, and services-oriented architecture environments. For these initiatives to be successful, there is a common, pervasive need for a steady, reliable stream of data from a diverse range of data sources while not impacting existing production systems or adding any business or IT risk. This led to the IBM acquisition of DataMirror.

DataMirror's change data capture and replication solutions provide scalable, high performance, heterogeneous data movement with minimal impact to source systems. These solutions include IBM InfoSphere Change Data Capture and IBM InfoSphere Change Data Capture for z/OS (formerly known as DataMirror Transformation Server) for heterogeneous change data capture, and IBM InfoSphere Change Data Capture for Oracle Replication (formerly known as DataMirror iReflect) for high availability and disaster recovery for Oracle environments. These solutions are key components of IBM InfoSphere Information Server to accelerate the ROI of information management projects and progressively advance your business ahead of the competition.

DataMirror also proves to be an integral component of the industry-leading  InfoSphere Information Server offering which provides a flexible end-to-end information management solution with measurable ROI. A key factor in the solution is effectively managing enterprise data through the timely capture and delivery of information as it happens. This not only helps reduce both business and IT costs, but also increases visibility into lines of business to help optimize/streamline processes to minimize business risk.

Within months after the acquisition, there was already a direct integration between DataMirror and InfoSphere Information Server. The latest release further enhances the direct ETL integration with transactional integrity and recoverability. By leveraging DataMirror’s low impact, real-time data integration solution with IBM InfoSphere Information Server’s powerful parallel processing platform with extensive transformation, data cleansing, and ETL capabilities, customers have the flexibility to address a broader range of information management initiatives, enabling them to deliver timely, trusted information.