IBM Data Replication delivers low-impact, near real-time data movement across your organization's data landscape.

To support trustworthy artificial intelligence (AI) implementations, businesses still need to properly integrate their data. A key component of data integration is providing access to current data without impacting mission-critical systems. Indeed, organizations depend on data availability and data access for various use cases, especially for making business decisions. According to key findings from Forrester’s 2022 Data Breach Benchmarks report, 50% of all organizations might not survive a system failure (link resides outside of ibm.com). IBM Data Replication enables enterprise synchronization of high volumes of data between various sources and targets, providing near real-time data delivery with low latency and minimal impact. By replicating and syncing mission-critical data and propagating changes as they occur across a hybrid cloud environment, organizations can:

• React to changes in near real-time.
• Improve business insights.
• Deliver continuous data availability.

Features and Benefits

• React to changes in near real-time: - Provide applications with current data in near real-time with low latency, improving proactive business decision-making and enriching customer experiences.
• Improve business insights: - By delivering consumable data to analytics applications, ETL tools or event streaming platforms such as Apache Kafka, IBM Data Replication unlocks operational data for analytics and distributed applications. - It unlocks valuable mainframe data without hindering performance so that users can query, run analytics and use data for AI initiatives.
• **Deliver continuous operations: **Minimize unplanned downtime and create up-to-date read and write standby systems for automatic failover to protect mission-critical data and enable 24x7 operations, helping to ensure disaster recovery.
• **Stream processing via Kafka: ** - With IBM Data Replication, users can deliver data into Apache Kafka, the stream-processing platform for real-time processing, data distribution and event-driven applications with low latency. - Kafka stores records data and holds them in memory with the flexibility for users to access and use them for various use cases. Employ Data Replication to deliver data from various sources to Kafka to create real-time streaming data pipelines, near real-time streaming applications, and more. 
• Transform data with IBM® DataStage® - IBM Data Replication integrates with IBM DataStage, the data integration tool that helps you design, develop and run jobs that move and transform data with ETL or ELT patterns. - Data Replication delivers data to DataStage as a target and uses its full transformation capabilities. CDC can reduce the resources required during the DataStage ETL “extract” step. It can also be used independently to move transformed data into a data lake or other repository in near real-time.