#analytics

What is data replication?

Data replication is a solution that provides trusted data integration and synchronization to enable you to efficiently manage data growth. It empowers your event-driven business by enriching big data systems and mobile applications through the use of real-time information, even capturing data that is constantly changing.

IBM InfoSphere® Data Replication portfolio supports high volumes of data with very low latency, making the solution ideal for multisite workload distribution and continuous availability—whether across the data center, from on premises to cloud. IBM provides robust support for sources, targets and platforms ensuring the right data is available in data lakes, data warehouses, data marts and point-of-impact solutions, while enabling optimal resource utilization and rapid ROI.

 

What we offer

Simplified real-time data integration icon

Simplified real-time data integration for your big data initiatives

Delivers new high-performance, direct-apply capabilities that allow for integration with Kafka and any Hadoop distribution, including Hortonworks.

 

 

Agile, low-impact integration of data icon

Agile, low-impact integration of data

Data is captured from database logs rather than issuing database queries or installing triggers. This enables a low-impact, highly scalable and enterprise-ready data replication platform for dynamic, continuous, incremental delivery of transactional relational data to data warehouses, operational data stores and data lakes. 

High availability and continuous data protection icon

High availability and continuous data protection

Provides continuous availability of systems during planned and unplanned downtimes through continuous data replication and synchronization of data from your mission critical operational system to an available backup system.

In the spotlight

How to make your Information Hub and Data Lake journey successful with the right data replication solution

Get a sneak peek at how data replication technology can be leveraged for dynamic, real-time, incremental delivery of transactional data to Kafka, Hadoop and the rest of the enterprise.

Products

InfoSphere Data Replication

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

InfoSphere Change Data Delivery

Delivers data changes for data warehouses, IBM DataStage® ETL, IBM QualityStage® data quality processes and IBM Master Data Management systems.

InfoSphere Classic Change Data Capture for z/OS

Captures changes to non-relational mainframe data and delivers them to relational databases, producing an accurate relational replica of your mainframe data.

Resources

Providing transactional data to your Hadoop and Kafka data lake

Discover how to get the most out of your unstructured and structured data with your replication platform.

Data Replication

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

Data Replication for Big Data

Provide near real-time incremental delivery of transactional data to your Hadoop and Kafka-base data lakes or data hubs with low-impact, log-based captures from source systems.

Related products

InfoSphere Information Server

Flexibly meet your unique requirements – from data integration to data quality and data governance.

InfoSphere Information Governance Catalog

Use a standardized approach to discovering your IT assets and define a common business language for your data.

DataStage

With a powerful, scalable ETL platform, get flexible and near real-time integration of all types of data deployable both on premises and on the cloud.

IBM BigQuality

Cleanse and monitor data quality continually to transform your data into trusted information.

Schedule a one-on-one call

Engage with thought leaders, distinguished engineers and unified governance and integration experts who have worked with thousands of clients to build winning data, analytics and AI strategies.