Cloud-native data and AI platform

Connect the right data to the right people at the right time

IBM Cloud Pak® for Data platform helps improve productivity and reduce complexity. Build a data fabric connecting siloed data distributed across a hybrid cloud landscape. 

This product offers a wide selection of IBM and third-party services spanning the entire data lifecycle. Deployment options include on-premises software version built on the Red Hat® OpenShift® container platform, or a fully managed version built on the IBM Cloud®. 

Automate the data lifecycle with an intelligent data fabric

Automate the data lifecycle with an intelligent data fabric (03:23)

Access data quicker 


Faster access to distributed data at lower costs across cloud and on-premises sources 

Boost productivity


Reduced ETL requests allow data engineers to concentrate on higher value work 

Cut costs


Manual cataloging eliminated to save costs like IBM Global Chief Data Office experienced 

Check out low-cost Express options for data fabric use cases

IBM Cloud Pak for Data use cases

Data integration

Data integration dashboard

Data integration

Reliable data for all - deliver readily consumable and governed data to your teams anytime and anywhere.

Data governance

Data governance dashboard

Data governance

Create a governed data foundation to accelerate data outcomes and address privacy and compliance requirements.

AI governance

AI governance fairness score dashboard in Watson OpenScale

AI governance

Drive responsible, transparent and explainable AI workflows to operationalize AI and mitigate risk and regulatory compliance.

Data science and MLOps

Data Science and MLOps dashboard

Data science and MLOps

Accelerate data preparation, model development, deployment and monitoring with automation of repeatable data science processes.

IBM named a Leader in the Gartner® 2022 Magic Quadrant™ for Data Quality Solutions.


Multicloud data access

Manage data spread across distributed stores and clouds.

Intelligent knowledge catalog

Rapidly provide business-ready data to users.

Pervasive data privacy and security

Seamlessly enforce universal data and usage policies.

Distributed data processing

Process data without migrating to a central repository.

Modern cloud data warehouse

Supercharge analytics with Netezza, a high-performance data warehouse.

End-to-end AI lifecycle

Dynamically create, train, manage, and monitor AI and advanced models. 

How customers use it

Integrated experience

Product screenshot IBM Cloud Pak for Data Overview dashboard

Integrated experience

Conduct your work with speed and ease within one platform

Built-in governance

Sensitive data policy dashboard product screenshot IBM Cloud Pak for Data

Built-in governance

Prep, cleanse, and govern your data in the same tool

End-to-end AI lifecycle

Asset dashboard product screenshot IBM Cloud Pak for Data

End-to-end AI lifecycle

Collaboratively build your models, mitigate bias, and deploy without leaving the platform

Hybrid multicloud AI

Add data connection selector product screenshot IBM Cloud Pak for Data

Hybrid multicloud AI

Data freedom-ability to connect to over 60 data sources and manage your workloads across multiple cloud environments

Case study


IBM named a Leader for the 17th year in a row

For the 17th year in a row, IBM has been named a Leader in the 2022 Gartner® Magic Quadrant™ for Data Integration Tools. Learn why.

The Forrester Wave™: Enterprise Data Fabric, Q2 2022

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

Announcing the release of IBM Cloud Pak for Data 4.6

Cloud Pak for Data v4.6 is now available. Learn about updates, deployment improvements, new features, and more.

IBM Cloud Pak for Data builds a foundation for data fabric

IBM's approach of combining data management and data governance will deliver trusted data to users across the enterprise.

Is data fabric an option for government?

IBM and Market Connections outlines the six-step process that can help you create a data strategy for today and for the future.