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.
Learn about the extension of QReplication support to IBM Db2 for AWS RDS
IBM is named a leader in the 2024 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions
Announcing IBM Data Replication for Cloud Pak for Data
The Data Replication portfolio includes multiple technologies to support a broad set of data sources and targets. Types of data replications include:
- 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 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.
- Provide applications with current data in near real-time with low latency, improving proactive business decision-making and enriching customer experiences.
- 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.
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.
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.
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
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.
IBM Data Replication on IBM Cloud Pak® for Data
Create real-time data synchronization by using a simple-to-use web interface with containerized, cloud-native software delivered on a CP4D platform, which can be deployed on-premises or on the cloud.
Synchronization between heterogeneous data stores in a simple-to-use web interface that uses cloud-native software delivered on Cloud Pak for Data. It can be deployed on-premises or on the cloud.
Synchronize Db2 and Db2 Warehouse data stores with a simple-to-use web interface that uses cloud-native software delivered on Cloud Pak for Data. It can be deployed on-premises or on the cloud.
IBM Data Replication as a service
Simple-to-use web interface to create real-time data integration and synchronization between data stores that use an IBM-managed service on IBM and AWS clouds.
Real-time synchronization between Db2 Warehouse with a simple-to-use web interface that uses an IBM-managed service on IBM and AWS clouds.
Learn the challenges and opportunities for businesses looking to modernize their data integration architecture and deploy on any cloud.
Read this edition of the IBM® Redbooks® publication.
Explore this edition of the IBM Redbooks publication.