Heroku vs OpenShift

What Heroku is

Heroku is a proprietary platform as a service that builds and runs applications in managed dyno containers, with pipelines, logs, data products and marketplace add-ons. Eco provides 1,000 shared personal-account dyno hours for $5 monthly and sleeps inactive web apps; Basic and larger dynos are usage-prorated up to published monthly caps. Dyno filesystems are ephemeral, so durable state belongs in databases or object storage. Compute, data services, add-ons, CI, support and private networking must be costed together.

What OpenShift is

Red Hat OpenShift is an enterprise Kubernetes application-platform family, not a single hosting plan. Self-managed editions range from Virtualization Engine and Kubernetes Engine through Container Platform and Platform Plus; managed services run with AWS, Microsoft, Google or IBM under different billing and responsibility models. The advertised $0.076 per hour floor is based on a 4-vCPU three-year reservation and still requires a minimum worker configuration, so it is not a complete cluster price. Trials and a developer sandbox exist, while production cost includes subscriptions or service fees plus infrastructure, storage, networking and operations.

What Heroku is built to do

Managed dynos

Runs isolated application processes with platform-managed cycling and replacement.

Release workflow

Builds deployable releases and supports pipelines, review apps and one-off administrative processes.

Data and add-ons

Attaches Heroku data products and third-party marketplace services to applications.

Runtime tiers

Offers sleeping personal Eco dynos through always-on production and isolated Private/Shield options.

What OpenShift is built to do

Enterprise Kubernetes

Runs containerized workloads on a security-focused Kubernetes and RHEL CoreOS foundation.

Developer platform

Adds console, Operators, build and deployment workflows, GitOps, pipelines, serverless and service mesh by edition.

Hybrid deployment

Supports validated on-premises, cloud and edge infrastructure with consistent APIs and operational patterns.

Managed services

Offers jointly or vendor-managed OpenShift services on major public-cloud platforms with product-specific SLAs.

Choose Heroku if

• Conventional stateless web and worker applications needing fast deployment and managed runtime operations
• Small experiments on Eco where sleep and the shared 1,000-hour pool are acceptable
• Production services after sizing dynos, databases, add-ons, regions and support as one bill

Skip Heroku if

• The application needs persistent local disk, privileged host access or unusual infrastructure control
• Cold starts, a single Eco dyno per process type or hour exhaustion are unacceptable
• Data residency is assumed from the app region without reviewing control-plane and add-on behavior

Choose OpenShift if

• Regulated or large multi-team Kubernetes estates needing a supported platform and lifecycle
• Hybrid-cloud application portfolios where consistent APIs and deployment controls justify the overhead
• Organizations choosing a managed service to transfer defined control-plane, patching and monitoring duties

Skip OpenShift if

• A handful of simple applications do not justify a minimum multi-node cluster and platform team
• The budget treats the advertised reserved vCPU rate as the complete production price
• The team has not selected an edition and documented the exact provider/customer responsibility matrix

Heroku: pros & cons

• Managed runtime: Heroku handles container placement, restarts and underlying operating-system administration.
• Simple release model: Source or container deployments, configuration variables and one-off commands support repeatable application delivery.
• Integrated ecosystem: Pipelines, review apps, Postgres, Key-Value Store and marketplace add-ons reduce integration work.
• Granular billing: Most dynos and data add-ons are prorated to the second up to a monthly maximum.
• No general free compute tier: Eco costs $5 monthly, is personal-app only and can exhaust its shared hour pool.
• Eco cold starts: Inactive web dynos sleep after 30 minutes and wake with a delay.
• Ephemeral local disk: Files written at runtime disappear across restarts, deploys or dyno replacement.
• Stacked cost: Production dynos, databases, add-ons, CI, teams and support can materially exceed the headline compute price.

OpenShift: pros & cons

• Deployment choice: Run supported self-managed editions across data center, public cloud and edge, or buy a managed cloud service.
• Integrated platform: Kubernetes, RHEL CoreOS, developer console, Operators, GitOps, pipelines and service mesh can form one supported stack.
• Enterprise support model: Paid editions add Red Hat lifecycle, security and support around tested platform combinations.
• Open upstream path: OKD provides the community Kubernetes distribution that powers OpenShift, with Apache-licensed project components.
• Real cost is multi-part: Worker minimums, infrastructure, storage, networking, subscriptions and operations exceed the headline unit rate.
• Operational burden varies sharply: Self-managed customers own platform and infrastructure, while managed-service responsibility matrices still leave customer duties.
• Edition complexity: Platform Plus, Container Platform, Kubernetes Engine, Virtualization Engine and cloud services bundle different capabilities.
• Cluster overhead is significant: Small applications may be cheaper and simpler on a basic PaaS or managed container runtime.