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 accelerate your journey to AI. Extract large volumes of data from various sources, transform it in any style and load (ETL) 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 2019 Gartner Magic Quadrant for Data Integration Tools
How data integration helps
Build confidence in your data
Data that is secure and trusted is essential in today's world. IBM data integration software solutions can deliver clean, consistent and timely information for your big data projects, applications and machine learning.
Govern data in real time
Flexible and real-time data governance is needed 24x7. The IBM data integration platform massive parallel processing capabilities help manage, improve and leverage information to drive results and reduce cost and risk of consolidation.
Consolidate and retire applications
Multiple, disconnected systems or an outdated application infrastructure can negatively impact business and increase costs. IBM data integration software solutions automate manual processes, thereby improving the customer experience and business process execution.
In the spotlight
2019 Gartner Magic Quadrant for Data Integration Tools
See how IBM has been positioned as a leader in the Magic Quadrant for Data Integration for over a decade.
How in-line address data quality delivers business ready data for AI
Get an in-depth look at how inline address verification and geocode solutions are critical while running extract, transform, load (ETL) jobs.
How to build smarter data integration in a multicloud world
Learn three data complexity challenges companies face today and how to address them.
IBM InfoSphere DataStage
A leader in ETL, IBM InfoSphere® 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.
Additional data integration products
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