Data integration
Transform structured and unstructured data from different sources into a trusted, unified view available to any system
Overview
What is data integration?
Data integration is the combination of technical and business processes used to combine data from disparate sources into meaningful and valuable information. A complete data integration solution delivers trusted data from various sources to support a business-ready data pipeline for DataOps.
Data integration solutions from IBM — including data integration on IBM Cloud Pak® for Data — offer scalable, multicloud solutions to help accelerate your journey to AI. Extract large volumes of data from various sources, transform it in any style and load it to enterprise data warehouse or cloud sources. Additional data integration delivery styles include:
- Data replication: Deliver complementary features, such as near-real time data synchronization or distribution utilizing low-impact, log-based data capture.
- Data virtualization: Abstract data access from multiple sources by creating a virtual view for business users who need to access and query data on demand.
IBM data integration products can also be used stand-alone or as managed services on IBM Cloud®.
See why IBM was recognized as a leader in the 2020 Gartner Magic Quadrant for Data Integration Tools
Data Decoded in 30 Seconds: What is Data Integration? (00:30)
How data integration helps
Build confidence in your data
Deliver clean, consistent and timely information for your big data projects, applications and machine learning.
Govern data in real time
Help manage, improve and use information to drive results and reduce the cost and risk of consolidation with robust parallel processing capabilities.
Consolidate and retire applications
Automate manual processes to help improve the customer experience and business process execution.
IBM DataStage
A leader in ETL, IBM® DataStage® is a highly scalable data integration tool for designing, developing and running jobs that move and transform data on premises and in the cloud.
With a modern container-based architecture, IBM DataStage for IBM Cloud Pak for Data combines this industry-leading data integration with DataOps, governance and analytics on a single data and AI platform. Deliver trusted data at scale across hybrid or multicloud environments.
Additional data integration products
IBM Analytics enables us to provide better insights into our business, supporting our growth.
Romina Oreskovic
Group Finance Director, Orbico
Featured resources
Related products
IBM Cloud Pak for Data
Integrate all of your data, whether on premises or on any cloud, to keep it more secure at its source with this flexible multicloud data platform.
IBM InfoSphere Data Replication
Help replicate data across a wide range of RDBMS and non-RDBMS sources and targets with low latency while improving transactional integrity.
IBM InfoSphere Advanced Data Preparation
Get self-service access to trusted data and automated transformation to help speed analysis and enterprise data preparation.