IBM Cloud Pak for Data System

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What is IBM Cloud Pak for Data System?

Benefits↓     Use cases↓     Features↓     Expansion bundle↓     Netezza features↓     What's new↓

IBM Cloud Pak® for Data System is an all-in-one hybrid cloud platform in a box that delivers a preconfigured, governed and security-rich high-performance environment on premises. The system is built on the Red Hat® OpenShift® Container Platform and designed to collect, organize and analyze data to infuse AI throughout your business. These insights let you use data and AI services to accelerate innovation.

The system combines storage, compute, networking and software into plug-and-play nodes that let you expand your system's footprint to meet your business needs. A single intuitive dashboard helps simplify software and hardware management.

Read this IDC white paper to learn how you can accelerate your AI journey and enable faster realization of business insights.

Benefits

Simplify deployment

Rapidly stand up a new powerful, flexible data and AI platform behind your firewall — right out of the box.

Scale to fit your needs

Get pay-as-you-grow capacity with plug-and-play hardware nodes along with a deep catalog of data and AI services.

Unify IT asset management

Help simplify software and system management with a unified and intuitive dashboard.

Overcome data silos

Seamlessly connect and integrate data across all clouds.

Leverage high-performance hardware

Choose state-of-the-art, high-performance hardware that supports data and AI use cases and workloads.

Get use cases in a box

This system runs natively on Red Hat OpenShift to let you set up a Red Hat-based cloud in a box inside your data center.

Use case: Power data science in a box

Running IBM Watson® Studio on high-performance hardware lets you merge your data and AI services. IBM Cloud Pak for Data System offers the power and flexibility to take you from data preparation to building and deploying models to managing them at scale. In addition, the system helps provide governance of data and AI models including bias detection, drift detection and more.

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Data science advantages

Accelerate onboarding

Unite your data and AI services with a single system software interface. IBM Watson Studio, IBM Watson Knowledge Catalog and other services are included.

Adapt to data science workloads

When you face new infrastructure and workload changes, reuse data and models for decision optimization and explainable AI as you evolve AI use cases.

Speed model deployment

Bring models to production more rapidly. Increase performance with system-tuned machine learning and deep-learning libraries.

Reduce manual effort and technical debt

Automate AI lifecycle with system and software integration. Help reduce costs and risks associated with legacy analytic tools.

Optimize AI and cloud consumption

Deploy plug-and-play nodes with pay-as-you-grow capacity. Help simplify, secure and govern AI deployment with trust and transparency across clouds.

Gain containerized management efficiency

Modernize data science workloads natively in Red Hat OpenShift to help reduce infrastructure management costs.

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Use case: Accelerate data exploration

Bring IBM Cognos® Analytics dashboards to life alongside database and data virtualization capabilities to get business insights faster. Access data at scale across all enterprise data sources to explore self-service data capabilities in real time. Find and visualize insights that can fuel your business and create the right starting point for important AI and machine learning projects.

Data exploration features

Get high-performing data exploration

Combine Cognos dashboards with the underlying IBM Cloud Pak for Data service catalog to open up a new world of data.

Leverage interactive dashboards

Intuitive drag-and-drop visualization tools let you create interactive dashboards with data from multiple enterprise data sources.

Simplify exploratory data analysis

Create sophisticated visualizations and dashboards with an optional low-code or no-code environment to uncover data patterns.

Access data from anywhere

Avoid data silos. Access your data across numerous enterprise data sources with the data virtualization feature.

Embed data visualization into your application

Let end users explore data and create visualizations that help answer unique questions important to your business.

Flexible exploration environment

Import your notebooks or start with community-sourced notebooks to use code-based exploration with popular visualization libraries.

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Extend these benefits with an expansion bundle

IBM® Netezza® Performance Server builds on the hyper-converged architecture of IBM Cloud Pak for Data System to provide a cloud-native system of insight for your enterprise’s most complex analytics. Using both in-database analytics and hardware acceleration, Netezza Performance Server can help you tackle your most difficult geospatial and machine learning queries, returning insights in minutes rather than hours or days.

→ View the infographic (PDF, 3.7 MB)

Learn why Netezza Performance Server is the leading enterprise data warehouse.

→ Read the competitive analysis

Netezza Performance Server features summary

Easy migration

Fully compatible with IBM PureData® System for Analytics, Netezza Performance Server enables single-command frictionless migration of your existing Netezza workload within minutes.

More performance for less

Netezza Performance Server can achieve 3 times the performance of legacy PDA with just 20% of the footprint and 50% of the power consumption.*

Built for today, ready for tomorrow

Running on Red Hat OpenShift, Netezza Performance Server is managed by Kubernetes containers, deployed through microservices and serviceable through call-home to IBM support.

Blazing fast and perfect for machine learning

Enjoy the same performance you’ve come to know from Netezza, now enhanced with in-database machine learning models, hardware acceleration and optimized high-performance analytics.

Scalable and elastic

Greatly reduce setup time with autodiscovery of IBM Cloud Pak for Data System. The system lets you flexibly expand or reduce compute and storage through plug-and-play nodes.

Bring AI to Netezza

Netezza Performance Server runs on IBM Cloud Pak for Data System. This capability lets you expand your Netezza workload with advanced data and AI services on premises using IBM Data Virtualization, IBM Watson® Knowledge Catalog and more.

Learn how to support all your data and AI needs

Do you have a cohesive data strategy and architecture to support all your data and AI needs? Read the IBM Cloud Pak for Data System solution brief to learn how you can quickly scale and deploy a complete private cloud for your enterprise data and AI architecture.

→ Explore product details (PDF, 175 KB)

What's new

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IBM Cloud Pak for Data System competitive analysis

Analysts at Cabot call IBM Cloud Pak for Data System "the ideal platform for clients who want to quickly get started on their AI journey."

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IBM Cloud Pak for Data System infographic

IBM picks, delivers and installs IBM Cloud Pak for Data System components directly onsite, so your data and AI platform is ready to go.

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Accelerate your journey to AI with a hyper-converged cloud data platform

IBM and Cabot Partners discuss how IBM Cloud Pak for Data System leads the pack, ahead of Google, Microsoft, AWS and Oracle.

See the IBM Cloud Pak for Data capabilities first hand

Financing IBM Cloud Pak solutions

IBM offers flexible payment plans to help you start projects sooner and potentially enhance your return on investment.