Data Integration

Data integration involves combining data residing in different sources and providing users with a unified view of them. This process becomes significant in a variety of situations, which include both commercial (such as when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains. Data integration appears with increasing frequency as the volume (that is, big data) and the need to share existing data explodes. It has become the focus of extensive theoretical work, and numerous open problems remain unsolved. Data integration encourages collaboration between internal as well as external users.

Whether your data is multi-cloud, hybrid, or on-premises, hybrid data integration solutions integrate all of your data and applications, in batch or real time. Integrate data and applications in minutes and support new and complex integration patterns easily. Get high performance, reliability, and near-universal connectivity for your mission-critical business processes.


Support the entire data integration lifecycle, from jumpstarting the first project to ensuring successful mission-critical enterprise deployments.

PowerCenter forms the foundation for all your data integration initiatives, including analytics and data warehousing, application migration, or consolidation and data governance.

✓ Role-based tools and agile processes enabling business self-service and delivery of timely, trusted data to the business

✓ Analysts can collaborate with IT to rapidly prototype and validate results quickly and iteratively

✓ Users benefit from graphical and code-less tools that leverage a whole palette of pre-built transformations

✓ Seamless access and integration of data from all types of sources, using high-performance, out-of-the-box connectors

✓ Support for grid computing, distributed processing, high availability, adaptive load balancing, dynamic partitioning, and pushdown optimization

✓ Script-free automated and repeatable audit and validation of data moved or transformed across development, test, and production environments

✓ Monitor production and reinforce coding best practices with alerts that prevent costly damage control later on

✓ Unlock the value of non-relational data by comprehensive parsing of XML, JSON, PDF, Microsoft Office, and Internet of Things machine data

✓ Provides accurate and timely data for operational efficiency, next-generation analytics and customer-centric applications

✓ Connect to cloud application sources and targets seamlessly from PowerCenter

Get the same on-premises experience with the advantages of the cloud by hosting PowerCenter on Amazon Web Services (AWS) or Microsoft Azure. Take advantage of your existing PowerCenter skills and investment across both on-premises and cloud.