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 offer organizations a scalable data integration platform. The platform allows you to extract data, transform it in any style and load (ETL) it to any system, supporting faster time to value and reduced IT risk. The integrated platform delivers a wide range of data quality capabilities from data profiling, standardization, matching and enrichment to active data-quality monitoring.

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Multiple, disconnected systems or an outdated application infrastructure can negatively impact business and increase costs.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.

IBM Analytics enables us to provide better insights into our business, supporting our growth.

Romina Oreskovic, Group Finance Director, Orbico

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