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 (03:23)
Access data quicker
8x
Faster access to distributed data at lower costs across cloud and on-premises sources
Boost productivity
25-65%
Reduced ETL requests allow data engineers to concentrate on higher value work
Cut costs
USD 27M
Manual cataloging eliminated to save costs like IBM Global Chief Data Office experienced
Introducing new express options on IBM Cloud Pak for Data
IBM Cloud Pak for Data use cases
Data integration
Data integration
Reliable data for all - deliver readily consumable and governed data to your teams anytime and anywhere.
Data governance
Data governance
Create a governed data foundation to accelerate data outcomes and address privacy and compliance requirements.
AI governance
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
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.
Features
Multicloud data access
Manage data spread across distributed stores and clouds.
Pervasive data privacy and security
Seamlessly enforce universal data and usage policies.
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
Integrated experience
Conduct your work with speed and ease within one platform
Built-in governance
Built-in governance
Prep, cleanse, and govern your data in the same tool
End-to-end AI lifecycle
End-to-end AI lifecycle
Collaboratively build your models, mitigate bias, and deploy without leaving the platform
Hybrid multicloud AI
Hybrid multicloud AI
Data freedom-ability to connect to over 60 data sources and manage your workloads across multiple cloud environments
Case study
ING
ING’s Chief Information Architect explains the benefits and potential of a data fabric in a hybrid cloud environment.
ING’s Ferd Scheepers shares his vision of using data fabric in a hybrid cloud environment (01:45)
Resources
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.