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Comparison

Control Plane vs Red Hat OpenShift

Updated July 2026 7 min read

Choose Control Plane to get Kubernetes-grade infrastructure operated for you across clouds, without running the cluster or paying per-core licensing. Choose OpenShift if you want a supported, opinionated enterprise Kubernetes stack you operate, often on-prem, with commercial support. The short version: Control Plane runs the clusters for you so you just deploy workloads; with OpenShift you operate the enterprise Kubernetes stack yourself.

At a glanceControl PlaneOpenShift
Cluster to operateNone, run for youThe OpenShift cluster
Runs across clouds●●●●●●●●●●
LicensingConsumptionCore-pair subscription (self-managed) or hourly (managed)
Scale-to-zeroYesVia Operators
Security by defaultgVisor, mTLSSCCs, SELinux, RBAC
Talent neededMinimalDeep K8s / OpenShift

Both are ways to run modern workloads on Kubernetes, but they sit on opposite sides of one question: who operates the cluster? OpenShift is an enterprise Kubernetes distribution you install, run, and license. Self-managed, it is an opinionated, supported stack that you stand up and keep alive yourself, on-prem or in a cloud; Red Hat's managed services (ROSA, ARO, OpenShift Dedicated) run the cluster for you on one cloud at a time, billed hourly. Control Plane is a cloud virtualization platform that operates hardened, security-isolated Kubernetes clusters on your behalf, so there is no cluster to run and no per-core licensing.

The core difference: a Kubernetes distribution you operate vs a platform run for you

OpenShift is Red Hat's enterprise Kubernetes platform. It takes upstream Kubernetes, wraps it in an opinionated set of defaults, developer tooling, CI/CD, and security policy, and backs it with commercial support. That is valuable, but the operating model does not change: you still install OpenShift, run the control plane and worker nodes, apply upgrades, and license the whole thing per core. The underlying Kubernetes complexity is managed, not removed, and it stays your responsibility.

Control Plane applies the idea one level up. Instead of shipping you a Kubernetes distribution to operate, it orchestrates hardened, security-isolated Kubernetes clusters for you across AWS, GCP, Azure, and on-prem. It exposes the parts you actually deploy against: workload, identity, networking, and policy primitives. You get Kubernetes-grade infrastructure without running the cluster, upgrading nodes, or exposing Kubernetes API tokens to your workloads. The resource model is simple: an Org contains GVCs, and a GVC contains Workloads, with five workload types: Serverless, Standard, Stateful, Cron, and VM. You build your own cloud on top, and the cluster operations happen underneath you.

When to choose Control Plane over OpenShift

The catalyst is usually operational overhead and cost. OpenShift is opinionated and supported, but it is still a cluster (often several) that your team installs, secures, upgrades, and keeps healthy. That means you still need deep Kubernetes and OpenShift expertise on staff. The per-core subscription bundles mean cost scales with the size of the clusters you provision, whether or not that capacity is busy. And because the underlying Kubernetes complexity remains, the promise of a simpler developer experience often runs into the reality of a platform team spending its time on the platform. Add multi-cloud, where the common pattern is a separate OpenShift cluster per environment that you operate and stitch together, and the operational surface grows fast. For many teams that overhead is worth it to own the stack; for many others it is exactly what they want to hand off.

Which one should you pick?

Choose Control Plane if...

  • You want Kubernetes-grade infrastructure operated for you, with no cluster to run.
  • You want to run across AWS, GCP, Azure, and on-prem as one layer, not a cluster per environment.
  • You want to escape per-core licensing and pay only for what you use.
  • You want deny-by-default security, mTLS, and gVisor isolation on by default rather than configured.
  • You want to ship workloads without deep Kubernetes or OpenShift expertise on staff.

Choose OpenShift if...

  • You want a full on-prem enterprise PaaS bundle you install and own.
  • You want commercial Red Hat support and a supported, opinionated stack.
  • You are invested in the Red Hat ecosystem and want deep integration with it.
  • You want to own the cluster and tune the control plane, nodes, and networking yourself.
  • You have the Kubernetes and OpenShift expertise to operate it well.

Control Plane vs OpenShift, side by side

DimensionControl PlaneOpenShift
What you operateNothing: clusters are run for youThe OpenShift cluster, upgrades, and nodes
Licensing / costUsage-based, no per-core license; runs on Control Plane's managed locations or in your own clusters via BYOK / Managed KubernetesPer-core subscription bundles
Multi-cloud and on-premOne layer across AWS, GCP, Azure, and on-premA cluster per environment you operate; fleet management via Advanced Cluster Management (Platform Plus)
Kubernetes API accessWorkload, identity, and policy primitivesFull platform plus raw Kubernetes API
Security by defaultgVisor isolation, deny-by-default firewalls, mTLS, auditSCCs, SELinux, RBAC on by default; mTLS (Service Mesh) and kernel isolation (sandboxed containers) included but installed and configured separately
Cost controlsScale-to-zero plus Capacity AI right-sizingAutoscaling built in; scale-to-zero via OpenShift Serverless (Knative) or the KEDA-based Custom Metrics Autoscaler, both included but installed as Operators; capacity provisioned up front
Talent neededLow: no cluster operationsDeep Kubernetes and OpenShift expertise
CompliancePCI DSS Level 1, SOC 2, HIPAA, GDPRYou achieve it on the stack you run
Best forShip workloads without cluster ops or licensingA supported enterprise stack you own

Which fits your scenario

Control Plane fits: a team running the same services across AWS, GCP, Azure, and on-prem that would rather not run a cluster in every environment. You deploy your standard containers across all four, on managed locations or in your own clusters, under one identity and network model, with no OpenShift cluster to install, upgrade, or license per core in each environment. Patented Universal Cloud Identity gives workloads credential-free, least-privilege access to native services in every account, which removes the separate-cluster-per-environment stitching that OpenShift leaves to you.

OpenShift fits: an enterprise standardizing on an owned, supported PaaS, often on-prem. When you want deep Red Hat ecosystem integration, commercial support contracts, and the ability to tune the control plane, nodes, and networking yourself, OpenShift is the stronger call. Its opinionated stack and mature developer tooling reward teams that have the Kubernetes expertise and want to own the platform.

Often it is both. Some organizations keep OpenShift for the on-prem estate their platform team already runs and put Control Plane in front of their multi-cloud and burst workloads, so new services ship without standing up another cluster to operate.

"Control Plane eliminates over 50% of our DevOps work. We have two DevOps engineers and they're running out of things to do. It's a good problem to have."
Jude Lee, CEO, IIInigence50% less DevOps work

Frequently asked questions

  • For teams that want Kubernetes-grade infrastructure without running a cluster, often yes. Self-managed OpenShift is an enterprise Kubernetes distribution you install, operate, and license per core-pair, on-prem or in a cloud; Red Hat's managed services run it for you on a single cloud, billed hourly. Control Plane orchestrates hardened, security-isolated Kubernetes clusters on your behalf across AWS, GCP, Azure, and on-prem, so there is no cluster to run and no per-core licensing. It is not a like-for-like swap if you specifically want to own and tune the cluster with commercial Red Hat support.

  • No. Control Plane is built on Kubernetes and orchestrates hardened, security-isolated clusters for you, but you never run the control plane, upgrade nodes, or manage namespaces on managed locations. You deploy workloads through one UI, CLI, and API. OpenShift, by contrast, still requires deep Kubernetes and OpenShift operational expertise even though it is opinionated and supported.

  • OpenShift is sold as a per-core or per-socket subscription bundle, so cost scales with the size of the clusters you run whether or not the capacity is busy. Control Plane is usage-based with no per-core licensing layer, and runs on its managed locations or in your own clusters via BYOK or Managed Kubernetes, with scale-to-zero and Capacity AI right-sizing to keep you from paying for idle capacity. There is no per-core licensing layer on top.

  • OpenShift is an enterprise Kubernetes platform you operate: an opinionated, supported stack you install on-prem or in a cloud and license per core. You own the cluster, upgrades, and nodes. Control Plane is a platform run for you: it orchestrates hardened, security-isolated Kubernetes clusters on your behalf across clouds and on-prem, exposing workload, identity, and policy primitives so you deploy applications without operating any cluster.

  • Yes. Control Plane runs containers and virtual machines across AWS, GCP, Azure, and on-prem from one UI, CLI, and API, on managed locations or in your own clusters, as a single layer. With OpenShift you typically stand up and operate a separate cluster in each environment and stitch them together yourself.

  • When you want a full on-prem enterprise PaaS bundle with commercial Red Hat support, deep integration with the Red Hat ecosystem, and to own and tune the cluster yourself, OpenShift is the right call. Control Plane targets teams who want Kubernetes-grade infrastructure operated for them, without running the cluster or paying per-core licensing.

Looking past OpenShift?

Run your containers and VMs across AWS, GCP, Azure, and on-prem as one layer, on hardened security-isolated clusters that are run for you, with no cluster to operate and no per-core licensing. Teams typically cut cloud compute costs 30 to 50 percent after moving to Control Plane. Test it on one real workload and see.