Data integration tools and solutions

Transform structured and unstructured data from different sources into a trusted, unified view available to any system

Blue cubes in a black background


Extract valuable data sets with data integration tools

Data integration tools and solutions are a group of technical and business processes designed to combine data from disparate sources into meaningful and valuable data sets. Tools such as ETL, data replication and data virtualization offer data integration solutions that extract large volumes of data from source systems and load it to an enterprise data warehouse or cloud source. 

IBM offers scalable, multicloud data integration solutions which can be used stand-alone or as managed services on IBM Cloud®.  Leverage IBM solutions such as IBM Cloud Pak® for Data platform to make the most of your siloed data and accelerate your AI journey. 

See why IBM was recognized as a Leader in the 2021 Gartner Magic Quadrant for Data Integration Tools report.

Read the report

IBM Cloud Pak® for Data platform

IBM recognized as a leader for enterprise data fabric solutions. See why in The Forrester Wave™: Enterprise Data Fabric, Q2 2022


Why IBM for data integration solutions Open source platform

Gain enterprise scale and security with a data integration platform running on Red Hat® OpenShift®.

AI-powered automation

Accelerate delivery and reduce TCO with AI-powered automation of tasks.

Multicloud deployment

Leverage container technology to run data integration across hybrid and multicloud environments.

Use cases

Multicloud data integration Easily deliver trusted data and accelerate innovation by connecting the right data to the right people. Quickly combine data from disparate sources into meaningful and valuable data sets. Quickly deliver trusted data

Customer data integration Connect data from distributed databases and systems to boost customer relationship management (CRM) and deliver what customers want or need.

Healthcare data integration Combine clinical, genomic, radiology and image data for rapid insights and make it available for patient treatment, cohort treatment and population health analytics.

Big data integration Use sophisticated data warehouses that deliver a unified view of big data from numerous sources to simplify business intelligence processes.

Case study

IBM Analytics enables us to provide better insights into our business, supporting our growth. Romina Oreskovic Group Finance Director Orbico Read the Orbico case study


A scalable data integration tool

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 on Red Hat OpenShift, 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.

Explore IBM DataStage

IBM ranks second highest in the Data Fabric Use Case - See why in the 2021 Gartner Critical Capabilities for Data Integration Tools.

Next Steps

Are you ready to learn more about how IBM can help you find data integration tools and solutions for your business?