What is IBM Cloud Pak for Data?

IBM Cloud Pak® for Data is a fully-integrated data and AI platform that modernizes how businesses collect, organize and analyze data to infuse AI throughout their organizations. Cloud native by design, the platform unifies market-leading services spanning the entire analytics lifecycle. From data management, DataOps, governance, business analytics and automated AI, IBM Cloud Pak for Data helps eliminate the need for costly, and often competing, point solutions while providing the information architecture you need to implement AI successfully.

Building on the streamlined hybrid-cloud foundation of Red Hat® OpenShift®, IBM Cloud Pak for Data takes advantage of the underlying resource and infrastructure optimization and management. The solution fully supports multicloud environments such as Amazon Web Services (AWS), Azure, Google Cloud, IBM Cloud® and private cloud deployments. Find out how IBM Cloud Pak for Data can lower your total cost of ownership and accelerate innovation.

Cost savings

Minimize data movement expense

Learn how to help reduce extract, transform and load (ETL) requests from 25% - 65%.

Reduce storage costs

Save up to 95% of storage capacity using snapshots instead of full copies for functional TestDev.

Improve infrastructure savings

Red Hat OpenShift can deliver up to 38% lower IT infrastructure and development costs per application.

Consolidate tools

Explore how maximizing data science, machine learning and AI could provide benefits of USD 1.2 - 3.4 million.

Increase enterprise-level governance and security

Reduce time to automate data discovery, quality and governance by 90% with IBM Watson® Knowledge Catalog for IBM Cloud Pak for Data.

Unlock IT cost savings

Learn how IBM Cloud Pak for Data helps cut costs, while accelerating your journey to AI.


Eliminate data silos, connect all data
Automate and govern the data and AI lifecycle
Operationalize AI with trust and transparency
Avoid lock-in, run anywhere with agility
Extend your platform with additional services
Deploy a complete private cloud system in less than 4 hours


Single, unified platform

Speed time to value with a single platform that integrates data management, data governance and analysis for greater efficiency and improved use of resources. Help enable self-service collaboration across teams.

Best-in-class data virtualization

Query data more easily and more securely across multiple sources, on cloud or on premises. Exploit the combined processing power of those sources for massive query acceleration. Achieve the speed and scalability your business needs for today's and tomorrow’s workloads.

Built-in data governance

Efficiently respond to changing regulations with embedded, sophisticated governance capabilities; these include automated discovery and classification of data, masking of sensitive data, data zones and data lifecycle management.

Unified data and AI services

Manage end-to-end data workflows to help ensure that data is easily accessible for AI. Make sure that your data is high-quality to deliver accurate, automated insights and decisions. Seamlessly build and manage machine-learning models across development and production in a collaborative environment.

Cloud native agility

Accelerate application development and deployment with a multicloud data platform that is agile, resilient and portable. Benefit from Kubernetes containerization to provision and scale services in minutes instead of months, inside a more secure, governed environment.

Extensible APIs and ecosystem

Benefit from a broad ecosystem of complementary hardware, software and services through a growing service catalog. Provision preferred data services flexibly and rapidly, and customize data workflows to your individual needs.

Industry accelerators

Use best practices to your advantage to accelerate implementations and deliver significant business value. Benefit from built-in models and accelerators for various industries including finance, insurance, healthcare, energy, utilities and more.

Continuous intelligence

Develop real-time streaming applications and deliver continuous intelligence across your business. With IBM Streams on IBM Cloud Pak for Data, you can enable continuous and rapid analysis of massive volumes of data in motion or at rest. This can help you gain business insights faster and make more-informed decisions.

All in one

Deploy a hyper-converged system with all necessary software in less than four hours — no assembly required. Under an intuitive dashboard, you can dynamically scale compute, storage and software with on-demand plug-and-play operations.

Take a product walkthrough

IBM Cloud Pak for Data can help you unlock the value of your data and create an information architecture for AI. This product walkthrough offers step-by-step demonstrations on how to collect, organize, analyze and infuse AI into your data with a scalable Kubernetes platform.

Market impact

Make your data ready for AI

Accelerating the AI journey starts with clean and secure data. With improved data integrity, AI can drive better outcomes, higher value work, and automated experiences.


of business leaders view AI as a strategic priority.

Only 19%

of execs strongly believe their teams understand the data required for AI.*

What analysts are saying and client success stories

“We saw an opportunity to help our clients navigate these uncertain times with AI-powered health and economic data: the COVID-19 Risk, Readiness and Recovery Dashboard.”
Michael Murray, President, Wunderman Thompson Data
"We were able to perfect the score [for high-risk patients] just the way a cardiologist would be able to rank the patient."
Sujay Santra, Founder and CEO, iKure (02:08)
“IBM Cloud Pak for Data helps companies leverage AI in their innovation activities with its analyze and infuse services.”
The Projected Total Economic Impact™ Of IBM Cloud Pak For Data, a commissioned study conducted by Forrester Consulting, February 2020
"With IBM Cloud Private for Data, IBM has pre-integrated capabilities that allow clients to be productive in a week or less."
The Forrester Wave™: Enterprise Insight Platforms, Q1 2019
"We expect that Lufthansa benefits from AI — an increased revenue and ... cost savings."
Mirco Bharpalania, Head of Data Analytics, Lufthansa
"We have evolved and strengthened our organization’s data governance capabilities and commitment to business resiliency."
Dumisani Mthimkhulu, Head of Data Asset Management, Standard Bank of South Africa

Attend the virtual events you missed

The projected ROI of IBM Cloud Pak for Data

Hear from IBM and Forrester Consulting on the benefits and total economic impact of a unified data and AI platform like IBM Cloud Pak for Data.

Watch the webinar (link resides outside IBM)
IBM Cloud Pak for Data System versus the competition

See why IBM's hyper-converged "cloud in a box" outperforms AWS, Google, Oracle and Microsoft products and how it can lower your total cost of ownership.

Watch the webinar
Forrester Podcast Series on IT cost savings

Join this podcast series to learn about the cost benefits of the IBM Cloud Pak data and AI platform with our Chief Product Officer.

Listen to the podcast (link resides outside IBM)

Related offerings

IBM Cloud Pak for Data System

An all-in-one cloud-native enterprise data and AI platform in a box

IBM Cloud Pak for Data as a Service

A starter set of IBM Cloud Pak for Data platform services fully managed on IBM Cloud

IBM Cloud Pak for Data Services

A catalog of services available to customize the platform to your unique needs

What’s new

Webinar: Accelerate and optimize your insight engine with a unified data and AI platform

Join for a Forrester analyst’s insight on benefits and cost savings of a unified data and AI platform in today’s changing times.

Unlock IT cost savings with IBM Cloud Pak for Data

Learn how an integrated data and AI platform running on Red Hat OpenShift, can help you save on IT costs and improve your bottom line.

IBM Cloud Pak for Data newsletter with complimentary Gartner Research (volume 1)

IBM Cloud Pak for Data can help take advantage of what Gartner calls “a collision of markets, caused by the rise of augmented analytics.”