CHANGE DATA CAPTURE
IBM® InfoSphere™ Change Data Capture integrates information across heterogeneous data stores in real time. Leverage real-time data replication to support data migrations, application consolidation, data synchronization, dynamic warehousing, MDM, SOA, business analytics and ETL or data quality processes.
• Log-based Change Data Capture (CDC) technology, acquired in the DataMirror acquisition, replicates mission-critical data events in real time without impacting system performance
• Low latency, high throughput data replication for enterprise data volumes while maintaining transactional integrity and consistency
• Direct integration with IBM InfoSphere® DataStage® to provide real-time data feeds to ETL processes with transactional integrity and no staging required
• Supports service-oriented architectures (SOAs) by packaging real-time data transactions into XML documents and delivering to and from messaging middleware such as WebSphere MQ
• Easy-to-use graphical user interface (GUI) enables quick deployment of data integration processes
• Comprehensive monitoring capabilities provide increased visibility into the replication environment to accelerate troubleshooting
• Flexible implementation enables unidirectional, bi-directional, many-to-one, and one-to-many delivery of data across the enterprise
• When combined with InfoSphere Change Data Capture for z/OS, replicate heterogeneous data to and from DB2 for z/OS
• Together with InfoSphere Replication Server, IBM provides the largest breadth of database and operating system support for data replication across both distributed and System Z environments.
• Rapidly deliver data changes for master data management, event-driven data quality, dynamic data warehousing, and ETL process optimization with InfoSphere Change Data Delivery.
• Operating systems: supported: AIX, HP-UX, i family, Linux, Other Operating Systems, Solaris (Sun microsystems), Windows, z/OS
• Databases supported: DB2 pureScale 9.8, DB2 for Linux Unix Windows, z/OS, and i, Informix, Oracle databases, Sybase databases, Microsoft SQL Server, and Teradata