IBM recognized as a leader for enterprise data fabric solutions. See why in The Forrester Wave™: Enterprise Data Fabric, Q2 2022
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
How it works
Data governance and privacy
Automate to manage data trust, protection and compliance
Provide an end-to-end experience rooted in metadata and active policy management.
Multicloud data integration
Integrate data across any hybrid and multicloud landscapes.
Deliver trusted data anywhere, at any scale and complexity, on and across multicloud and hybrid cloud environments.
Customer 360
Create a comprehensive view of client
Connect disparate systems, automate critical business processes and provide a platform to support a comprehensive, single view of priorities.
MLOps and trustworthy AI
MLOps and trustworthy AI
Eliminate the challenge of data access by enabling an end-to-end AI workflow infused with data governance and privacy.
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
You need to know what data you have, where it is, who has access to it and who’s getting it. I’m saving more than 60% by moving from our heritage solution to IBM Cloud Pak for Data.
David Wright
Chief Data Officer
Wichita State University
This is exactly what the data fabric promises, active metadata driving what we can and can’t do with data, making data available in a consistent way across regions and clouds.
Ferd Scheepers
Chief Architect
ING
So what we’re looking to do is introduce data fabric, to create a layer in which our folks can bring data together in one common platform.
Sal Marraccino
Head of Data Governance and Architecture
Verizon
Integrated services
Fully managed on IBM Cloud
Multicloud data integration
Data replication
Efficiently manage data growth with trusted data integration and synchronization.
IBM Watson® Query
Query any data, anywhere and achieve a complete view of your data across sources.
Customer 360
IBM Match 360
Establish a single, trusted, 360-degree view of your customers, and improve trust in AI pipelines.
IBM Watson Query
Simplify data landscapes with a universal query engine that accesses your disparate data sources.
IBM Watson Knowledge Catalog
Accelerate collaboration by centralizing management of external data connections.
MLOps and trustworthy AI
IBM Watson Studio
Democratize machine learning and deep learning to accelerate the infusion of AI in your business.
IBM Watson Knowledge Catalog
Accelerate business value and data usability with active metadata and policy management.
Data management
IBM Db2® Database
Deliver data where and when needed — powered by best-in-class, scalable, AI-infused database management system.
IBM Netezza® Performance Server
Scale fast and simply with a performant data warehouse built for analytics, on the cloud.
Cloud Databases on IBM Cloud®
Choose one for transactional workloads, web and mobile apps, and fast analytics.
Storage
IBM Cloud® Object Storage
Get flexible, cost-effective and scalable cloud storage for unstructured data.
Next steps
See how IBM Cloud Pak for Data empowers users with access to trusted data for AI.