Comparison
Control Plane vs Heroku
6 min read
Summary
Control Plane runs your containerized apps on managed infrastructure, in Control Plane's cloud accounts by default or in your own accounts and on-prem, across one cloud or several, without having to operate a cluster yourself. It builds from Git with buildpacks and per-PR preview environments for push-to-deploy delivery, and also deploys through the CLI, Terraform, Pulumi, API, and UI. It goes further than a single-vendor PaaS: it runs in your own cloud accounts across AWS, GCP, and Azure and on-prem, adds full Linux and Windows VMs, true scale-to-zero with Capacity AI right-sizing, and consumption pricing by the milli-core instead of per-dyno. Heroku is the classic git-push PaaS, but it hosts every app on its own infrastructure, with no control over where workloads run or the ability to move them across clouds.
| At a glance | Control Plane | Heroku |
|---|---|---|
| Where workloads run | Managed infra or your own accounts/on-prem | Heroku's infrastructure only |
| Active development | ✓ Active | Sustaining engineering (Feb 2026) |
| Scale-to-zero | ✓ Yes | No (Eco dynos sleep) |
| Cost model | Consumption, milli-core billing | Dyno pricing |
| Workload types | Containers, VMs, plus Sandboxes | Dynos + add-ons |
Control Plane is an enterprise platform that runs your containerized apps on managed clusters, on its own cloud accounts by default or across your accounts and on-prem, combining one cloud or several into one layer, without having to operate a cluster yourself, built-in CI/CD-ready deploys, managed databases, per-PR preview environments, scale-to-zero, automatic right-sizing, and platform-level compliance. Heroku is the classic single-vendor developer PaaS: you git push and it builds, runs, and manages your app on Heroku's own infrastructure. Both take the operational pain out of running apps, but they draw the line in different places: Heroku keeps everything on its own infrastructure, while Control Plane gives you control over where your app runs and the freedom to move it across clouds.
The core difference: a single-vendor PaaS vs an adaptable enterprise platform
Control Plane runs your standard containers on hardened, managed clusters. Those run on Control Plane's own cloud accounts by default or across your AWS, GCP, Azure, and on-prem accounts as one layer, with identity, networking, security, and scaling handled uniformly. It is built on Kubernetes but requires no Kubernetes expertise, so you never have to operate a cluster yourself, though you can run Managed Kubernetes (MK8s) or Bring Your Own Kubernetes (BYOK) when you want that control. You get the operational ease of a PaaS, plus control over where the workloads run, scale-to-zero, automatic right-sizing, managed databases, and platform-level compliance built in. Deploys go through git-driven builds and buildpacks, or the CLI, API, and infrastructure as code such as Terraform and Pulumi, which fits CI/CD pipelines and keeps workloads portable across clouds.
Heroku draws the line differently. You commit code and run git push heroku main, and the platform builds a slug, provisions dynos, wires up add-ons, and serves your app, all on Heroku's own single-vendor infrastructure. That model keeps every app on Heroku, with no say over where the workload runs or the ability to move it across clouds, and in February 2026 Heroku moved to what it calls a sustaining engineering model, focused on stability, security, and support rather than major new features.
Why teams are looking past Heroku in 2026
The first catalyst is roadmap. In February 2026 Heroku moved to a sustaining engineering model, focused on stability, security, and support rather than major new features, and teams planning years ahead weigh that carefully. Beyond the roadmap, several themes recur. Cost climbs at scale, and dyno-based scaling has a ceiling. Control over where workloads run and their data residency is limited, since on Heroku everything lives on Heroku's own infrastructure. And the single-vendor model constrains teams that want to run across more than one cloud, in their own accounts, or on-prem. As teams outgrow a single-vendor PaaS, a comparison like this goes on the table.
Which one should you pick?
Choose Control Plane if...
- You want an enterprise platform that runs the same apps on managed clusters, on Control Plane's compute or your own accounts, one cloud or several, plus on-prem.
- You want control over where workloads run and their data residency, including your own accounts if you need it.
- You want scale-to-zero and automatic right-sizing instead of always-on dynos.
- You need compliance that applies across your own cloud accounts and multiple clouds, not just one vendor's platform.
- You are outgrowing a single-vendor PaaS and want operational ease without having to operate a cluster yourself, while keeping the option to run Managed Kubernetes (MK8s) or bring your own.
Where Heroku differs
- It is a single-vendor PaaS with a git-push deploy from a connected repository.
- It runs apps as dynos with an add-on marketplace, on Heroku's own infrastructure.
- In February 2026 it moved to a sustaining engineering model, focused on stability and support rather than new features.
Control Plane's CLI, Terraform, Pulumi, and API deploys wire into your own CI/CD for the same push-to-deploy pipeline, and add control over where workloads run, VMs, multi-cloud, and platform-level compliance.
Control Plane vs Heroku, 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 | Heroku |
|---|---|---|
| Workload placement & topology | ||
| Can one logical environment span two different cloud providers at once? | YYes | NNo |
| Number of publicly published regions or locations | YYes | YYes |
| 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 | YYes | YYes |
| Built-in image builder (no Dockerfile required) | YYes | YYes |
| Named framework guides (Next.js, Django, Rails, Laravel…) | PPartial | YYes |
| One-click template or app catalog | YYes | YYes |
| Documented free tier | PPartial | NNo |
| Local development story (emulator, local run, tunnel) | PPartial | YYes |
| Migration in | ||
| Import from an existing platform (Heroku, compose, Kubernetes manifests) | YYes | PPartial |
| Scaling & efficiency | ||
| Metric-driven horizontal autoscaling | YYes | PPartial |
| Automatic vertical resizing of a running workload | YYes | NNo |
| Scale to zero with automatic wake | YYes | PPartial |
| 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 | NNo |
| Application-layer request authentication at the edge | YYes | PPartial |
| Static IP addresses for inbound or outbound traffic | YYes | PPartial |
| Storage & data services | ||
| Managed relational or key-value databases as a first-party product | YYes | YYes |
| Persistent volumes attachable to a scaled-out workload | YYes | NNo |
| Automatic volume growth before capacity is exhausted | YYes | PPartial |
| Backup and restore with scheduled retention | PPartial | YYes |
| 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 | NNo |
| Secrets management with access control on retrieval | YYes | PPartial |
| Role-based access control granularity | YYes | PPartial |
| Audit trail of platform changes | YYes | PPartial |
| Third-party compliance certifications | YYes | YYes |
| Multi-tenancy for the customer's own end customers | PPartial | NNo |
| Operations & observability | ||
| Metrics with a queryable interface | YYes | PPartial |
| Distributed tracing | YYes | PPartial |
| Managed log export to third-party destinations | YYes | YYes |
| 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 | YYes | YYes |
| Automation & extensibility | ||
| First-party infrastructure-as-code provider (Terraform or equivalent) | YYes | YYes |
| Complete public API reference | YYes | YYes |
| MCP server for AI-agent operation of the platform | YYes | PPartial |
| 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 | NNo |
| Commercial terms | ||
| Published compute and memory unit prices | NNo | PPartial |
| Published uptime SLA with a number | YYes | NNo |
| Documented path to migrate off the platform | PPartial | PPartial |
| Public community channel | PPartial | PPartial |
| Named reference customers published | PPartial | YYes |
| Vendor continuity risk signals | PPartial | PPartial |
Scored from public documentation as of September 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 growing team whose Heroku bill is climbing and that now needs to run across more than one cloud. You run the same standard containers across AWS, GCP, Azure, and on-prem in your own accounts under one identity and network model, without having to operate a cluster yourself, scale-to-zero, and automatic right-sizing to hold down cost. Heroku keeps every app on its single-vendor platform, so it cannot give you ownership, data residency, or multi-cloud reach. Universal Cloud Identity lets those workloads reach native services like S3, DynamoDB, and BigQuery with temporary session credentials instead of stored keys.
What Heroku is. Heroku is the classic single-vendor git-push PaaS: git push heroku main builds and runs your app on Heroku's own infrastructure, with an add-on marketplace for Postgres, Redis, and more. Control Plane delivers push-to-deploy from Git with buildpacks and per-PR preview environments too, and also lets you run in your own cloud accounts across multiple clouds and on-prem, add VMs, and pay by consumption, so you do not outgrow it as you scale.
Why teams consolidate on Control Plane. The moment a climbing bill, regulated data, VMs, or workloads spanning more than one cloud enter the picture, a single-vendor PaaS stops being enough. Control Plane matches the Heroku workflow, with git-driven builds, buildpacks, per-PR preview environments, and managed databases, and adds control over where workloads run, your own cloud accounts, full VMs, scale-to-zero, automatic right-sizing, and consumption pricing across every cloud and on-prem, so you run one platform instead of two.
"We can do the same things we could do in Heroku (so we don't have to go low-level in AWS) but Control Plane gives us fine-grained control over the resources allocated to an individual process."
Frequently asked questions
For teams scaling past a single-vendor PaaS, often yes. Heroku hosts your app on its own platform with a git-push workflow. Control Plane is an enterprise platform that runs the same containerized apps on managed clusters, on its cloud accounts by default or in your own accounts across AWS, GCP, Azure, and on-prem, without having to operate a cluster yourself. Deploys use git-driven builds, or standard containers via CLI, Terraform, and API, which keeps them portable across clouds.
In February 2026 Heroku moved to what it calls a sustaining engineering model, focused on stability, security, and support rather than major new features. It continues to run existing apps, but teams planning long-term growth weigh that roadmap when deciding where to invest. Control Plane is under active development, with scale-to-zero, VMs, multi-cloud, and the ability to run in your own cloud accounts.
Yes. Control Plane supports git-driven builds with buildpacks and per-PR preview environments for push-to-deploy delivery, and also deploys prebuilt containers and VMs through the CLI, Terraform, Pulumi, API, and UI. You get the push-to-deploy workflow without being locked to one vendor's infrastructure, and workloads stay portable across clouds.
Heroku is a managed, single-vendor PaaS: you rent capacity on Heroku's own infrastructure and deploy with git push. Control Plane is a cloud virtualization platform. It runs your standard containers on hardened, managed clusters, on its own cloud accounts by default or in your own accounts or on-prem, one cloud or several, without having to operate a cluster yourself. Scale-to-zero, automatic right-sizing, identity, networking, and compliance are built in. Heroku hosts your app on its own infrastructure; Control Plane lets you control where the workload runs and move it across clouds.
Most Heroku apps are already twelve-factor and containerize cleanly. Once in a container they run on Control Plane's managed clusters, on its cloud accounts by default or in your own accounts, with scale-to-zero and automatic right-sizing. Add-ons like Postgres, Redis, Kafka, and Mongo have equivalents in the Control Plane Template Catalog. The main change is the deploy workflow: git push becomes a container build plus CLI, API, or IaC deploy.
Outgrowing Heroku?
Run the same apps as standard containers on managed clusters, on Control Plane's compute or your own accounts across AWS, GCP, Azure, and on-prem. It is one layer with operational ease and no cluster you have to operate yourself, plus scale-to-zero, automatic right-sizing, and compliance. Test it on one real workload and see.
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