Comparison
Control Plane vs Porter
Updated August 2026 4 min read
Choose Control Plane to run containers and VMs across several clouds and your own servers as one virtual cloud, with identity, networking, and compliance built in. Choose Porter for a git-push PaaS experience inside the single cloud account you already run. Short version: Porter is Heroku in your account; Control Plane is a cloud of your own.
| At a glance | Control Plane | Porter |
|---|---|---|
| Runs across clouds | ●●●●● | ●●●●● |
| Can run in your account | ✓ Yes | ✓ Yes |
| One layer spanning clouds + on-prem | ✓ Yes | ✗ No |
| VM workloads | ✓ Yes | ✗ No |
| Compliance built in | PCI DSS L1, SOC 2, HIPAA | SOC 2 Type II; one-click SOC 2/HIPAA infra controls (AWS) |
Porter and Control Plane agree on the premise (your workloads belong in infrastructure you control, without a platform team to run it) and diverge on scope. Porter installs a Heroku-style developer experience into your own AWS, GCP, or Azure account, one cloud at a time, on managed Kubernetes it provisions for you. Control Plane virtualizes the clouds themselves: several providers and your own servers become one virtual cloud, with one deploy, one identity model, and one network.
The core difference: your account, upgraded, or your clouds, unified
Porter's sweet spot is a team on one primary cloud that wants git-push deploys without leaving its own account. Porter stands up and manages the cluster in your account, wires the deploy flow, and stays out of the way. The scope is deliberately one account on one cloud; the cloud's own boundaries remain your boundaries.
Control Plane treats the account as one substrate among several. A workload deploys once and runs in the regions you choose across AWS, GCP, Azure, and on-prem, reaching each cloud's native services credential-free through patented Universal Cloud Identity. Full VMs run beside containers, Capacity AI right-sizes everything, idle workloads scale to zero, and PCI DSS Level 1, SOC 2 Type II, HIPAA, and GDPR come with the platform.
Which one should you pick?
Choose Control Plane if...
- You span, or will span, more than one cloud, or clouds plus your own hardware.
- You need VMs as first-class workloads next to containers.
- You want credential-free access to native services in every cloud, not one.
- Regulated workloads need platform-level compliance, including PCI DSS Level 1.
Choose Porter if...
- One cloud account is your world and you want it to feel like Heroku.
- Git-push, build-from-source deploys are the experience your team wants.
- Containers cover everything you run.
- You'd rather adopt a lighter layer inside the account than a platform above it.
Control Plane vs Porter, side by side
58 capabilities, scored from each vendor's public documentation with the same rules applied to both columns. Hover a capability for what it measures, or a verdict for the reason behind it.
| Capability | Control Plane | Porter |
|---|---|---|
| Workload placement & topology | ||
| Can one logical environment span two different cloud providers at once? | YYes | NNo |
| Number of publicly published regions or locations | NNo | — |
| Can you attach your own Kubernetes cluster as a managed target? | YYes | NNo |
| Automatic failover of a running workload to another location | YYes | NNo |
| Fine-grained traffic steering across locations (priority, latency bias) | YYes | NNo |
| Getting to first deploy | ||
| Git push to a branch triggers build and deploy with no external CI | NNo | PPartial |
| Built-in image builder — no Dockerfile required | YYes | YYes |
| Named framework guides (Next.js, Django, Rails, Laravel…) | PPartial | NNo |
| One-click template or app catalog | YYes | PPartial |
| Documented free tier | NNo | PPartial |
| Local development story (emulator, local run, tunnel) | PPartial | NNo |
| Migration in | ||
| Import from an existing platform (Heroku, compose, Kubernetes manifests) | YYes | PPartial |
| Scaling & efficiency | ||
| Metric-driven horizontal autoscaling | YYes | YYes |
| Automatic vertical resizing of a running workload | YYes | NNo |
| Scale to zero with automatic wake | YYes | NNo |
| Published cold-start or wake latency figures | NNo | NNo |
| Spot or preemptible instance support | PPartial | NNo |
| Networking & edge | ||
| First-party CDN or edge caching | NNo | NNo |
| First-party managed WAF | NNo | NNo |
| Egress control: restrict which destinations a workload may reach | YYes | NNo |
| Private connectivity into a customer VPC or on-prem network | YYes | PPartial |
| Encrypted service-to-service networking as a platform default | YYes | PPartial |
| Application-layer request authentication at the edge | YYes | NNo |
| Static IP addresses for inbound or outbound traffic | YYes | PPartial |
| Storage & data services | ||
| Managed relational or key-value databases as a first-party product | NNo | PPartial |
| Persistent volumes attachable to a scaled-out workload | YYes | PPartial |
| Automatic volume growth before capacity is exhausted | YYes | NNo |
| Backup and restore with scheduled retention | PPartial | PPartial |
| Static site hosting as a first-class product | NNo | NNo |
| First-class background jobs, queues and cron | PPartial | YYes |
| Identity & secrets | ||
| How a workload authenticates to external cloud services | YYes | PPartial |
| Secrets management with access control on retrieval | YYes | PPartial |
| Role-based access control granularity | YYes | NNo |
| Audit trail of platform changes | YYes | PPartial |
| Third-party compliance certifications | YYes | PPartial |
| Multi-tenancy for the customer's own end customers | PPartial | NNo |
| Operations & observability | ||
| Metrics with a queryable interface | YYes | PPartial |
| Distributed tracing | YYes | NNo |
| Managed log export to third-party destinations | YYes | PPartial |
| Default log retention | YYes | PPartial |
| Built-in alerting with notification channels | YYes | PPartial |
| Shell, file copy and port-forward into a running workload | YYes | PPartial |
| Progressive delivery: weighted traffic between versions | YYes | NNo |
| Ephemeral preview environment per pull request | NNo | YYes |
| Automation & extensibility | ||
| First-party infrastructure-as-code provider (Terraform or equivalent) | YYes | NNo |
| Complete public API reference | YYes | NNo |
| MCP server for AI-agent operation of the platform | YYes | NNo |
| Machine-readable documentation (llms.txt, per-page markdown) | YYes | YYes |
| Ephemeral sandboxes for running untrusted or AI-generated code | YYes | PPartial |
| Core product available as open source | NNo | PPartial |
| Specialized compute | ||
| Run full virtual machines, not just containers | YYes | NNo |
| Run GPU workloads alongside standard services | YYes | PPartial |
| Commercial terms | ||
| Published compute and memory unit prices | NNo | YYes |
| Published uptime SLA with a number | NNo | NNo |
| Documented path to migrate off the platform | PPartial | PPartial |
| Public community channel | PPartial | NNo |
| Named reference customers published | PPartial | YYes |
| Vendor continuity risk signals | PPartial | PPartial |
Scored from public documentation as of August 2026. “No” means not documented, not necessarily absent; breadth is not a quality ranking, and specialists doing one thing well score narrow by design.
Which fits your scenario
Control Plane fits: a company an enterprise deal just made multi-cloud. The product runs in AWS; the new customer requires Azure in Frankfurt with data residency and a PCI report. On Control Plane that is a new region of the same virtual cloud and the same deploy, not a second platform built from scratch in a second account.
Porter fits: a startup all-in on one cloud that misses Heroku. The AWS account exists, the credits are real, and the team wants push-to-deploy without handing the app to a vendor's infrastructure. A PaaS installed into that account is the right-sized answer.
Frequently asked questions
Both run workloads in infrastructure you control without you operating Kubernetes. The difference is scope: Porter upgrades one cloud account; Control Plane composes several clouds and your own servers into one virtual cloud with a shared identity and network model.
Not push-to-deploy on a branch. The CLI can build from source (cpln image build, locally or remotely, including straight from a GitHub or GitLab repo), and workloads deploy through the CLI, Terraform, Pulumi, the API, or the UI, which fits CI/CD pipelines and keeps deploys portable. If build-from-source git-push is the experience you want, that is a fair point for Porter.
No in both cases, with different owners. Porter manages a cluster inside your account; Control Plane operates hardened clusters across its managed regions, your accounts, and your servers, and you never touch any of them.
A single cloud account, container-only workloads, and a team whose main want is Heroku-style flow in infrastructure they own. If multi-cloud, VMs, or PCI-level compliance never enter the picture, the lighter layer is the simpler buy.
Thinking bigger than one account?
Compose AWS, GCP, Azure, and your own servers into one virtual cloud: same deploy, same identity, same audit trail everywhere. Test it on one real workload.