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Comparison

Control Plane vs Heroku

Updated July 2026 6 min read

Choose Control Plane for an enterprise platform with no cluster to operate, scale-to-zero, automatic right-sizing, and compliance. It runs the same apps on managed clusters, in Control Plane's cloud accounts by default or your own accounts or on-prem, on one cloud or several. This fits teams outgrowing a single-vendor PaaS. Choose Heroku if you want the classic git-push PaaS and already run there. The short version: Control Plane is an enterprise platform that lets you control where workloads run and move them across clouds, while Heroku hosts your app on its own infrastructure.

At a glanceControl PlaneHeroku
Where workloads runManaged infra or your own accounts/on-premHeroku's infrastructure only
Active developmentActiveSustaining engineering, no new features
Scale-to-zeroYesNo (Eco dynos sleep)
Cost modelConsumption, milli-core billingDyno pricing
Workload typesContainers + VMsDynos + add-ons
Compliance built inPCI, SOC 2, HIPAASOC 2, ISO 27001; PCI/HIPAA need Shield

Both platforms take the operational pain out of running apps. They just draw the line in different places. Heroku is the classic developer PaaS: you git push and it builds, runs, and manages your app on Heroku's own infrastructure, a managed single-vendor experience. Control Plane is an enterprise platform that runs the same containerized apps on managed clusters. It runs them on its own cloud accounts by default or across your accounts and on-prem, combining one cloud or several into one layer, with no cluster to operate. The difference is enterprise-grade control over where your app runs and the freedom to move it across clouds.

The core difference: a single-vendor PaaS vs an enterprise platform across clouds

Heroku's breakthrough was making deployment simple. You commit code and run git push heroku main. The platform builds a slug, provisions dynos, wires up add-ons, and serves your app, all on Heroku's own infrastructure. For more than a decade that git-push simplicity defined what a modern developer platform should feel like, and it remains a quick way to get a small app online.

Control Plane draws the line differently. It 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 and gives you no cluster to operate. You get much of the operational ease of a PaaS, plus control over where the workloads run, scale-to-zero, automatic right-sizing, and compliance built in. Deploys go through the CLI, API, or infrastructure as code such as Terraform and Pulumi, which fits CI/CD pipelines and keeps workloads portable across clouds.

When to choose Control Plane over Heroku

The first catalyst is roadmap. As of February 2026 Heroku moved to what it calls a sustaining engineering model: stable, supported, and still running, but focused on maintaining quality and operational excellence rather than introducing new features, and no longer offering Enterprise Account contracts to new customers. It remains mature and dependable, but teams planning years ahead weigh that limited investment 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 infrastructure, with placement limited to its US and Europe runtimes or its Private Spaces regions. The single-vendor model constrains teams that want to run across more than one cloud, and compliance requirements can outgrow what a shared PaaS offers. For the simplest small apps Heroku still works well, but 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 such as PCI DSS Level 1, SOC 2, HIPAA, or GDPR.
  • You are outgrowing a single-vendor PaaS and want no cluster to operate.

Choose Heroku if...

  • You want the simplest git-push experience for a small app.
  • You already run happily on Heroku and it meets your needs.
  • You do not need control over where the underlying infrastructure runs.
  • You are content on a single vendor and do not need multi-cloud.
  • Managed dynos and add-ons cover your requirements today.

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.

CapabilityControl PlaneHeroku
Workload placement & topology
Can one logical environment span two different cloud providers at once?YN
Number of publicly published regions or locationsNY
Can you attach your own Kubernetes cluster as a managed target?YN
Automatic failover of a running workload to another locationYN
Fine-grained traffic steering across locations (priority, latency bias)YN
Getting to first deploy
Git push to a branch triggers build and deploy with no external CINY
Built-in image builder — no Dockerfile requiredYY
Named framework guides (Next.js, Django, Rails, Laravel…)PY
One-click template or app catalogYY
Documented free tierNN
Local development story (emulator, local run, tunnel)PY
Migration in
Import from an existing platform (Heroku, compose, Kubernetes manifests)YP
Scaling & efficiency
Metric-driven horizontal autoscalingYP
Automatic vertical resizing of a running workloadYN
Scale to zero with automatic wakeYP
Published cold-start or wake latency figuresNN
Spot or preemptible instance supportPN
Networking & edge
First-party CDN or edge cachingNN
First-party managed WAFNN
Egress control: restrict which destinations a workload may reachYN
Private connectivity into a customer VPC or on-prem networkYP
Encrypted service-to-service networking as a platform defaultYN
Application-layer request authentication at the edgeYP
Static IP addresses for inbound or outbound trafficYP
Storage & data services
Managed relational or key-value databases as a first-party productNY
Persistent volumes attachable to a scaled-out workloadYN
Automatic volume growth before capacity is exhaustedYP
Backup and restore with scheduled retentionPY
Static site hosting as a first-class productNN
First-class background jobs, queues and cronPY
Identity & secrets
How a workload authenticates to external cloud servicesYN
Secrets management with access control on retrievalYP
Role-based access control granularityYP
Audit trail of platform changesYP
Third-party compliance certificationsYY
Multi-tenancy for the customer's own end customersPN
Operations & observability
Metrics with a queryable interfaceYP
Distributed tracingYP
Managed log export to third-party destinationsYY
Default log retentionYP
Built-in alerting with notification channelsYP
Shell, file copy and port-forward into a running workloadYP
Progressive delivery: weighted traffic between versionsYN
Ephemeral preview environment per pull requestNY
Automation & extensibility
First-party infrastructure-as-code provider (Terraform or equivalent)YY
Complete public API referenceYY
MCP server for AI-agent operation of the platformYP
Machine-readable documentation (llms.txt, per-page markdown)YY
Ephemeral sandboxes for running untrusted or AI-generated codeYP
Core product available as open sourceNP
Specialized compute
Run full virtual machines, not just containersYN
Run GPU workloads alongside standard servicesYN
Commercial terms
Published compute and memory unit pricesNP
Published uptime SLA with a numberNN
Documented path to migrate off the platformPP
Public community channelPP
Named reference customers publishedPY
Vendor continuity risk signalsPP

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 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, with no cluster to operate, 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. Patented Universal Cloud Identity lets those workloads reach native services like S3, DynamoDB, and BigQuery with temporary session credentials instead of stored keys.

Heroku fits: a small team or side project that wants to ship the moment code is pushed. git push heroku main builds and runs the app with no containers to define and no infrastructure to own, and the add-on marketplace wires up Postgres, Redis, and more in a click. For a single small app where that simplicity matters more than owning the underlying accounts, Heroku's managed workflow fits well.

Often it is both. Many teams keep prototypes and internal tools on Heroku's git-push workflow while moving production, regulated, or cost-sensitive workloads to Control Plane in their own accounts. The two coexist while you shift the workloads that have outgrown a single-vendor PaaS.

"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."
Jame Mackson, CTO, Upsie50% savings over Heroku

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, with no cluster to operate. Deploys use standard containers via CLI, IaC, or API rather than a git push, which keeps them portable across clouds.

  • In February 2026 Heroku announced a sustaining engineering model focused on stability, security, reliability, and support, with an emphasis on operational excellence rather than introducing new features. It remains an actively supported, production-ready platform for existing apps, but teams planning long-term growth increasingly weigh that limited roadmap when deciding where to invest.

  • No. Heroku's signature is git push heroku main and the platform builds and runs your app. Control Plane deploys standard containers through the CLI, API, or infrastructure as code such as Terraform and Pulumi. This model fits CI/CD pipelines and keeps workloads 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, with no cluster to operate. 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.

  • Heroku is still the better fit in a specific case: you want the simplest git-push experience for a small app, you already run happily on Heroku, and you do not need control over where the infrastructure runs or to run across more than one cloud. Control Plane targets teams outgrowing a single-vendor PaaS who want control over where workloads run, plus scale, multi-cloud, or compliance.

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 no cluster to operate, plus scale-to-zero, automatic right-sizing, and compliance. Test it on one real workload and see.