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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.
The IBM data replication portfolio supports high volumes of data with very low latency, making the solution ideal for multi-site 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 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
Data is captured from database logs rather than issuing database queries or installing triggers enabling 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
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
IBM Data Replication
Provides replication with transactional integrity to support big data integration, continuous availability, consolidation, warehousing, and business analytics initiatives.
IBM InfoSphere Change Data Delivery
Delivers data changes for data warehouses, DataStage® ETL processes, QualityStage® data quality processes and Master Data Management (MDM) systems.
IBM 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.
IBM Data Replication
Learn how IBM Data Replication helps you achieve high-volume, robust and secure information replication across heterogeneous data stores.
IBM Data Replication for Big Data
Provide near real-time incremental delivery of transactional data to your Hadoop and Kafka based 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.
IBM DataStage
With a powerful, scalable ETL platform, get flexible and near real- time integration of all types of data deployable both on-premises or in the cloud.
IBM BigQuality
Cleanse and monitor data quality continually to transform your data into trusted information.
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