What is data replication?

Data replication is a common solution for supporting data integration requirements. Data replication provides trusted data synchronization (including change data capture capabilities) and availability, enabling you to efficiently manage data growth while increasing revenue through use of up-to-the-minute information. Real-time operational and analytical data synchronization enriches big data systems and mobile applications, empowering the event-driven business.

Robust data replication capabilities deliver high volumes of (big) data with very low latency, making data replication ideal for multi-site workload distribution and continuous availability.

IBM offers offers data replication, a portfolio that delivers high volumes of (big) data with very low latency, making data replication ideal for multi-site workload distribution and continuous availability -- whether across the data center, from on premise to Cloud, or around the world. IBM provides the most robust support for sources, targets, and platforms to ensure the right data is available in data warehouses, data marts, and point-of-impact solutions, while enabling optimal resource utilization and rapid ROI.

Event-driven business

Event-driven business

Supplement transactional systems and improve business performance by detecting and reacting to business events in real time.

Data synchronization

Data synchronization

Ensure your mission critical operational systems leverage up-to-date information.

Continuous availability

Continuous availability

Ensure high availability for the most widely used transaction data stores for cross-site workload balancing, and for disaster recovery.

Zero downtime for migrations and upgrades

Zero downtime for migrations and upgrades

Perform system and server upgrades while testing new applications with real time production data.

Optimized resource utilization

Optimized resource utilization

Eliminate massive batch movements with low impact on source systems.

Data Replication features

Data replication - Real time data integration for big data

Real time data integration for big data

Delivers new high-performance, direct-apply capabilities that allows for integration with Kafka as well as any Hadoop distribution, including IBM BigInsights.

Data replication - Agile, low-impact real-time integration

Agile, low-impact real-time integration

Supports integration between heterogeneous data stores in near-real time, providing a highly scalable, low-impact, and enterprise-ready data replication platform for dynamic, near-real time, incremental delivery of transactional relational data to data warehouses, operational data stores and/or data lakes.

Data replication - Simplified real-time integration

Simplified real-time integration

Simple, providing flexibility for automation of configuration and monitoring functions to help reduce costs, and speed time to value.

Browse all data replication products

IBM InfoSphere Data Replication for Db2 for z/OS

IBM Data Replication for Db2 for z/OS

Leverage real-time data replication to support Active-Active databases, database migration, application consolidation, dynamic warehousing, MDM, SOA, business analytics and ETL or data quality processes.

 Learn more

IBM InfoSphere Data Replication

IBM Data Replication

Provides replication with transactional integrity to support big data integration, continuous availability, consolidation, warehousing, and business analytics initiatives.

 Learn more

Data replication resources

 

IBM Data Replication

Learn how IBM Data Replication helps you achieve high-volume, robust and secure information replication across heterogeneous data stores.

 

Seven Performance and Scalability Principles for Information Integration

Discover the seven elements needed for high-performance data integration.

 

Boost Data Veracity with IBM Data Replication

See how IBM Data Replication can seamlessly replicate data to and from your data warehouses and maximize business continuity and information reliability while delivering verified data back and forth in near real-time.