IBM InfoSphere Data Replication for DB2 for z/OS, V11.4.0

IBM InfoSphere Data Replication for DB2 for z/OS, V11.4.0 improves support for zero-data-loss continuous availability and delivers performance enhancements

InfoSphere Data Replication for DB2 for z/OS, V11.4.0 provides a single offering to address a variety of data replication requirements, including continuous data availability (whether local or remote), dynamic data integration with traditional data warehousing, newer big data initiatives, and replication, to support database upgrades or migrations.

Key features of version 11.4.0 include:

Scalable, high-volume, low-latency replication of DB2 for z/OS data with transactional integrity between DB2 subsystems, and when used with IBM Data Replication (additional entitlement required) on a Linux, Unix, or Windows platform
Distributed Relational Database Management Systems (RDBMS) such as DB2, Oracle, and MS SQL Server
Big data targets such as Hadoop (through the use of WebHDFS), Kafka, and IBM Pure Data for Analytics
Distributed applications and tools such as IBM Information Server DataStage and IBM InfoSphere Master Data Management
Cloud targets such as DashDB, Cloudant, and various RDBMSs running on IBM and third-party cloud platforms
Support of most DB2 for z/OS data types (including XML and Large Objects), DB2 Temporal Table support and archive table support, and Load from Cursor for fast load of target tables
Designed for IBM System z with System Modification Program/Extended (SMP/E) install, Automatic Restart Manager (ARM) registration, and Resource Access Control Facility (RACF) support
Log-based, CDC to minimize impact on source applications and database performance
Easy transmission of changed data to extract, load, and transform tools such as InfoSphere DataStage
Support for an array of topologies, including one-way and two-way data distribution solutions between a central master site and numerous remote locations
Conflict detection and resolution options to support data changes made to multiple databases through bidirectional usage
Built-in compare utilities for determining data differences between sources and targets
Consolidation of data from many sources into a single target
Live audit and consistent change data tables for a comprehensive audit trail of source changes
Transformation of changed data while replicating
Historical data for tuning and service level agreement compliance
GUIs, a full-featured command-line processor and APIs to simplify replication configuration and operational management
Web-based health and performance monitoring

Planned availability date: February 24, 2017