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What is IBM Cloud Pak for Data
IBM Cloud Pak for Data is a containerized data and AI platform that runs on Red Hat OpenShift to support data engineering, governance, analytics, and machine learning lifecycle management. It is used by data teams and platform engineers to deploy and operate IBM data and AI services across on-premises, private cloud, and supported public cloud environments. The product emphasizes hybrid deployment, integration with IBM’s data governance and model management components, and centralized administration for multiple data and AI workloads.
Hybrid deployment on OpenShift
Cloud Pak for Data is designed to run on Red Hat OpenShift, which supports consistent deployment patterns across on-premises and cloud environments. This helps organizations standardize operations for data and AI services when they cannot centralize data in a single public cloud. It also aligns with enterprises that already use OpenShift as a platform standard for regulated or latency-sensitive workloads.
Broad integrated data services
The platform bundles multiple capabilities—data integration, data virtualization, governance, analytics, and ML tooling—under a common control plane. This reduces the need to stitch together separate products for cataloging, policy enforcement, and model development workflows. Compared with tools focused primarily on BI dashboards or a single analytics engine, it is oriented toward end-to-end data-to-model operations.
Enterprise governance and lineage
Cloud Pak for Data commonly pairs with IBM governance components to support cataloging, policy management, and lineage for data assets and analytics artifacts. These features help teams manage access controls and compliance requirements across datasets and projects. This is particularly relevant for organizations that need auditable controls beyond what is typically provided by visualization-first analytics products.
Complex architecture and operations
Running the platform requires Kubernetes/OpenShift administration skills and ongoing cluster operations (upgrades, storage, networking, security). Deployment planning often involves sizing, dependency management, and coordination across infrastructure and data teams. For smaller teams seeking a lightweight analytics or dashboarding tool, the operational overhead can be disproportionate.
Licensing and packaging complexity
Capabilities are delivered through multiple services and editions, and pricing is typically tied to entitlements and resource consumption models. This can make it harder to estimate total cost and select the right components without vendor guidance. Organizations may also pay for a broad platform even if they only need a subset of features.
Not a pure IaaS or BI tool
Although it supports hybrid cloud deployment, Cloud Pak for Data is not an infrastructure provider and does not replace core IaaS services such as compute, networking, or VPC management. It also does not function as a standalone BI dashboard product in the way visualization-centric tools do. Many deployments still require complementary infrastructure services and, in some cases, separate BI tooling depending on reporting needs.
Plan & Pricing
Pricing model: Mixed — (1) On‑prem / container subscription (Virtual Processor Core (VPC) licenses) sold by IBM (contact sales); (2) Cloud Pak for Data as a Service (CPDaaS) — modular, pay‑as‑you‑go per-service plans (many services offer Lite/free tiers and metered units such as Capacity Unit‑Hours (CUH) or tokens).
Notes / Key pricing facts (official IBM pages):
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On‑prem / container licensing: Cloud Pak for Data is licensed by virtual processor cores (VPC) / container entitlements; IBM’s container licensing documentation and Expert Labs pages describe VPC entitlements and minimums rather than a public list price — customers are instructed to contact IBM/sales for pricing and to buy VPC subscription licenses. Key doc: IBM container licensing FAQ (minimum 1 core; VPC accounting) and Expert Labs service entitlements. cite
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CPD as a Service (SaaS) — modular pay‑as‑you‑go: offering plans differ by service (Lite/Essentials/Standard/Enterprise, etc.). The platform product page points to a free trial and the dataplatform (CPDaaS) documentation lists offering plans and billing metrics per service. cite
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Example published component pricing (official IBM pages / CPD docs):
- IBM Watson Discovery: “Starting at USD 500 per month” for some plans (with a 30‑day trial option shown on the IBM product pricing page). cite
- IBM DataStage (as a Service): documented starting price "Starting at USD 1.75*/Capacity Unit‑Hour (CUH)" for DataStage as a Service (CUH = capacity unit hour). CPDaaS docs also list a free Lite plan for DataStage and other services. cite
- Data Product Hub (CPDaaS): Lite plan = Free (limits apply); Essentials plan shows example pricing: $1.25 USD/CUH and $12 USD/data subscription (per IBM CPDaaS docs). cite
- watsonx.ai Runtime (in CPDaaS): Lite plan includes 20 CUH/month free; Standard/Essentials are metered (tokens / CUH). (See CPDaaS runtime plans). cite
Key feature / notes:
- IBM does not publish a single, public list price for the full Cloud Pak for Data platform for on‑prem container subscriptions — licensing is expressed as VPC entitlements and is typically sold via Passport Advantage / IBM sales channels; Cloud Pak for Data as a Service exposes per‑service plans (some free LITE tiers) and metered billing. cite
Summary (short):
- Deployment/licensing options: On‑prem container (VPC subscription licenses) — contact IBM for pricing; CPD as a Service — per‑service, usage‑based billing with some free Lite plans and documented rates for specific services (examples above). cite
Seller details
IBM
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https://www.ibm.com
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