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IBM Data Replication

Data synchronization for improved business insights, data availability and the ability to react to changes in data

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Analyst report

Discover why IBM is named a Leader for the 19th year in a row in the 2024 Gartner® Magic Quadrant™ for Data Integration Tools

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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.
Announcing IBM Data Replication for Cloud Pak for Data
The future of IBM data integration
Featured resources New features available in IBM data integration

Supported data sources

Db2, Db2 z/OS, Db2 Warehouse, Db2 IIAAS, Db2 Z, Oracle, Azure, SQL Server, PostreSQL, MySQL, VSAM, IMS & more Find out about more data sources

Targets

Db2, Db2 IIAAS, Db2 Z, Kafka, Files, DataStage, Oracle, SQL Server, Snowflake, Db2 Warehouse, PostreSQL, Google Big Query, Hadoop & more Find out about more data sources
Data Replication comprehensive technology

The Data Replication portfolio includes multiple technologies to support a broad set of data sources and targets, including: 
IBM Change Data Capture (CDC)
  • IBM CDC captures data from major online transaction processing (OLTP) databases, such as Oracle, Db2, SQL, IMS, VSAM and more. It delivers the changes to a wide range of endpoints, including databases, message queue warehouses, Kafka, Big Data and ETL or ELT platforms. See all of the CDC’s available data sources and targets here.
  • Change data capture technology captures the changes from database logs as they occur without interrupting operations, delivering the changes in near real-time with little to no impact on source systems to maintain high performance.
IBM Q® Replication (QRep)
  • IBM QRep synchronizes mass volumes of data between Db2 environments, such as Db2 z/OS, LUW, IIAS and Db2 Warehouse over large distances in near real-time to help ensure high availability of mission-critical data.
  • Q Replication technology captures the changes from database logs as they occur without interrupting operations, delivering the changes in near real-time with little to no impact on source systems to maintain high performance.
Features and benefits of Data Replication
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. 

Customer success stories

Garanti BBVA Ilmarinen Bank in the Middle East

Products and deployments

IBM Data Replication can be deployed on-premises, containerized and as a service, connecting your data from the mainframe to the cloud and everywhere in between.

On-premises Containerized As a service
Resources Data integration that fuels AI

Learn the challenges and opportunities for businesses looking to modernize their data integration architecture and deploy on any cloud.

2024 Gartner® Magic Quadrant™ for Data Integration Tools

Discover why IBM is named a Leader for the 19th year in a row in the 2024 Gartner® Magic Quadrant™ for Data Integration Tools.

Understanding and using Q Replication for high-availability solutions on the IBM z/OS platform

Explore this edition of the IBM Redbooks publication.
Take the next step

Get started with a no-cost trial of IBM Data Replication or book a consultation with an IBM expert to discuss how it can advance your specific business needs.

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