Enable data consumers to quickly find, prepare and use governed data with robust search methods and semantic intelligence.
Accelerate delivery and reduce TCO with AI-powered automation of tasks.
Ingest data from applications regardless of where data resides in the data fabric — on-premises, the cloud or hybrid.
Improve performance and quality. Get swift and reliable insights while reducing storage and egress costs.
Enable users to find, collaborate and access high-quality data.
Take advantage of a range of integration styles to meet your needs.
Embed governance by using data policies to maximize performance and data quality, while minimizing storage and egress costs.
Minimize data movement and reduce egress costs in other cloud platforms.
Automate complex data management tasks and universally discover, integrate, catalog, secure and govern data.
The Databand proactive data observability platform helps you monitor and control the quality of your data.
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.
The IBM Chief Data Office modernizes data movement with IBM® DataStage®.
Get flexible and near real-time data integration, both on prem and on the cloud with a scalable ETL platform.
Real-time synchronization between data stores, supporting real-time insights and actions.
Break down data silos and speed queries with data virtualization to query any data, anywhere.
Continuously observe data processes and pipelines to detect incidents as they occur.
Activate business-ready data for AI and analytics with intelligent cataloging, backed by active metadata and policy management.
Version 4.7 of IBM Cloud Pak for Data is now available. Check out what's new.
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*.
Learn more about the IBM acquisition of Databand.ai, which enables a more proactive approach to data reliability.
Explore the strategic steps to design and implement a data strategy that drives business advantage.
Discover why IBM is named a Leader for the 17th year in a row in the 2022 Gartner Magic Quadrant for Data Integration Tools.
Learn how you can deliver trusted data from disparate data sources.
Understand the key differences and how to make your data more accessible and functional.
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.
Check out low-cost Express options for data fabric use cases.
Choose the solution that best suits your needs.
Begin building your data fabric architecture in the cloud.
On-prem customers, quick-start your data fabric architecture with our express solutions.
Footnotes
*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.