Data integration
Reliable data for all. Deliver readily consumable and governed data to your teams anytime, anywhere.
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Introducing DataStage as a Service Anywhere - execute ETL and ELT Pipelines in any Cloud, Data Center or On-premises. 
How IBM data integration is used
Transformation and quality Turn raw data into quality info, fast Quickly transform large amounts of raw data from any format, complexity or size into consumable, quality information. Try it now

Real-time data Simplify real-time data integration Detect unknown data incidents earlier, resolve them faster and deliver reliable and readily consumable data. Try it now

Data governance Simplify data governance and maintain privacy Understand and govern all enterprise data to manage risk and accelerate insights. Try it now

Virtualized data Break down data silos Get a single view of data across different data types and sources without data movement and in a secure, governed fashion. Try it now

Data observability Deliver reliable data Detect unknown data incidents earlier, resolve them faster and deliver trustworthy data. Try it now
Benefits of data integration Democratize data access

Enable data consumers to quickly find, prepare and use governed data with robust search methods and semantic intelligence.

Automate with AI

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

Eliminate data silos 

Ingest data from applications regardless of where data resides in the data fabric — on-premises, the cloud or hybrid.

Make trusted data available 

Improve performance and quality. Get swift and reliable insights while reducing storage and egress costs.

Capabilities Empower with self-service

Enable users to find, collaborate and access high-quality data.

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Integrate flexibly 

Take advantage of a range of integration styles to meet your needs.

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Make trusted data available

Embed governance by using data policies to maximize performance and data quality, while minimizing storage and egress costs. 

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Run anywhere

Minimize data movement and reduce egress costs in other cloud platforms.

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Automate intelligently

Automate complex data management tasks and universally discover, integrate, catalog, secure and govern data.

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Proactive data observability

The Databand proactive data observability platform helps you monitor and control the quality of your data.

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Data integration case studies

Learn how IBM customers are using a data fabric built with IBM Cloud Pak® for Data to create innovative solutions.

ING carries out its data fabric vision.
IBM Chief Data Office
The IBM Chief Data Office modernizes data movement with IBM® DataStage®.
Data integration included solutions
IBM DataStage

Get flexible and near real-time data integration, both on prem and on the cloud with a scalable ETL platform. 

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IBM Data Replication

Real-time synchronization between data stores, supporting real-time insights and actions.

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IBM Data Virtualization

Break down data silos and speed queries with data virtualization to query any data, anywhere. 

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IBM Databand

Continuously observe data processes and pipelines to detect incidents as they occur.

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IBM Knowledge Catalog

Activate business-ready data for AI and analytics with intelligent cataloging, backed by active metadata and policy management. 

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News and events IBM Cloud Pak for Data 4.8 now available

Version 4.8 of IBM Cloud Pak for Data is now available. Check out what's new.

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IBM has been recognized by customers on Gartner Peer Insights

IBM is named a Customers’ Choice in the January 2023 Gartner Peer Insights “Voice of the Customer”: Voice of the Customer for Data Integration Tools*.

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IBM acquires

Learn more about the IBM acquisition of, which enables a more proactive approach to data reliability.

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Resources The Data Differentiator: A guide for leaders
Explore the strategic steps to design and implement a data strategy that drives business advantage.
Gartner® 2022 Magic Quadrant™
Discover why IBM is named a Leader for the 17th year in a row in the 2022 Gartner Magic Quadrant for Data Integration Tools.
Data integration ebook
Learn how you can deliver trusted data from disparate data sources.
Application integration versus data integration
Understand the key differences and how to make your data more accessible and functional.
Five steps to jumpstart your data integration journey
Learn the five steps an analyst at a fictitious company would take to be successful in their data integration project using IBM DataStage on IBM Cloud Pak for Data.
Introducing IBM Cloud Pak for Data Express
Check out low-cost Express options for data fabric use cases.
Deployment options

Choose the solution that best suits your needs.

Data integration on IBM Cloud Pak for Data as a Service
Begin building your data fabric architecture in the cloud.
ELT Pushdown Express on IBM Cloud Pak for Data Software
On-prem customers, quick-start your data fabric architecture with our express solutions.
Take the next step

Get started with a free trial of IBM Cloud Pak for Data or book a consultation with an IBM expert to discuss how it can advance your specific business needs.

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More ways to explore Resources Documentation Partners

*Gartner, Voice of the Customer for Data Integration Tools, Peer Contributors, 25 January 2023. Gartner is a registered trademark and service mark and Peer Insights is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.

Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences with the vendors listed on the platform, should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.

The GARTNER PEER INSIGHTS CUSTOMERS’ CHOICE badge is a trademark and service mark of Gartner, Inc. and/or its affiliates and is used herein with permission. All rights reserved.