Dokploy vs Heroku: which deployment platform should you choose?

Dokploy and Heroku both reduce the work involved in deploying applications, but they place the infrastructure boundary in different places. Dokploy gives you an open-source control plane for Docker workloads on servers you supply. Heroku runs applications as dynos on a managed runtime operated by Heroku.

• Dokploy is a self-hostable Docker platform with Git deployments, Compose, databases, previews, jobs, remote servers, and Docker Swarm. Your team operates the infrastructure.
• Heroku is a managed platform built around apps, dynos, buildpacks, Pipelines, Review Apps, data services, and add-ons.
• The main decision is operational ownership. Dokploy exposes the server and Docker environment. Heroku manages the runtime within its own infrastructure model.
• We recommend Northflank for teams that want managed application delivery with more infrastructure flexibility. It runs services, jobs, managed databases, full-stack previews, autoscaled workloads, and GPUs on Northflank Cloud or in your own cloud account through self-serve BYOC.

Dokploy exposes servers, Docker, and placement decisions. Heroku abstracts those details behind apps, process types, and dynos.

Dokploy installs on a compatible Linux server and uses Docker, Docker Swarm, and Traefik. It can run everything on one server, connect independent remote deployment servers over SSH, or replicate applications across Swarm nodes. Multi-node Swarm deployments require a Docker registry and cluster operations. Independent remote servers do not form a shared cluster.

Applications deploy from GitHub, generic Git repositories, or Docker images. Dokploy supports Dockerfiles, buildpacks, static builds, webhooks, Docker Compose, Docker Stack, and templates.

Heroku builds applications from Git, GitHub, or API deployments and runs web, worker, or custom processes in dynos. Supported languages can use maintained Cloud Native Buildpacks. Pipelines group environments and promote the same build between stages.

Heroku supports container deployments for Cedar-generation applications. Fir takes a different route, using Cloud Native Buildpacks to produce OCI-compatible images.

Dokploy creates isolated previews for GitHub pull requests. The preview limit is configurable for each application and defaults to three. Previews update with new commits and are removed when the pull request closes or merges. Connected databases or other resources need their own lifecycle design.

Heroku Review Apps create disposable applications from GitHub pull requests through Heroku Pipelines. They can include declared add-ons and setup tasks. Automatically created Review Apps are removed when a pull request closes, and their dynos and add-ons are billed like normal resources.

Dokploy supplies lifecycle and backup workflows for PostgreSQL, MySQL, MariaDB, MongoDB, and Redis containers. They run on your servers, so your team owns capacity, upgrades, backups, restore tests, security, and availability.

Heroku provides Heroku Postgres, Heroku Key-Value Store, and Apache Kafka on Heroku, alongside third-party marketplace add-ons. Dyno filesystems are ephemeral and not shared, so persistent application state belongs in a data service or another backing service.

Dokploy gives you tooling around database containers you operate. Heroku sells managed data services with plan-specific capacity, backup, and support features.

Dokploy uses Traefik for domains, routing, and automatic HTTPS. Teams can scale servers vertically, distribute applications across remote servers, or run replicas through Docker Swarm. High availability still requires deliberate state, failure-domain, capacity, and recovery design.

Heroku applications scale by changing dyno quantity or size for each process type. On Cedar, eligible Performance, Private, and Shield web dynos can autoscale against a target p95 response time. Native autoscaling is not currently available on Fir. Eco and Basic allow one dyno per process type, while higher tiers expand scaling and runtime options.

Cedar Private Spaces add isolated networking, stable outbound IPs, optional internal routing, AWS VPC peering, and VPN connectivity. Private Space peering connects Heroku infrastructure to an AWS VPC; it does not move dynos into the customer's cloud account.

Self-hosted Dokploy leaves upgrades, server patching, networking, storage, and disaster recovery with your team. Dokploy Cloud manages the control plane, but workloads still run on your servers.

Heroku operates its control plane and runtime. Customers remain responsible for code, configuration, access, data, and attached services.

Dokploy includes basic roles and two-factor authentication, while Enterprise Self-Hosted and Enterprise Cloud add fine-grained roles, OIDC or SAML SSO, SCIM, audit logs, and commercial support options.

Heroku requires MFA for all customers, while organisations using SSO enforce MFA through their identity provider. Existing Enterprise customers can use Enterprise Accounts and Teams, SSO, application permissions, Private Spaces, and audit trails. Shield Private Spaces and Shield data plans add controls for eligible regulated workloads.

Heroku stopped offering new Enterprise Account contracts in February 2026. Existing Enterprise subscriptions and support contracts can renew.

Dokploy and Heroku prices cover different infrastructure layers, so their entry prices do not tell the whole story.

• Dokploy: The open-source self-hosted edition has no software licence fee. On annual billing, Dokploy Cloud Hobby starts at $4.50 per connected server per month. Startup starts at $15 per month and includes up to three connected servers. Servers, storage, traffic, backups, monitoring services, and infrastructure operations remain additional costs.
• Heroku: Eco provides personal apps with 1,000 shared dyno hours for $5 per month. An Eco web app sleeps after 30 minutes without web traffic, while a worker-only app does not automatically sleep. Example Cedar-generation prices are Basic at up to $7 per dyno per month, Standard-1X at up to $25, Standard-2X at up to $50, Performance-M at up to $250, and Performance-L at up to $500. Usage is generally prorated to the second, except the full Eco subscription. Fir dynos and Private Spaces use separate pricing. Data services, add-ons, CI usage, and the dynos and add-ons in Review Apps add further consumption charges.

Dokploy's total cost includes infrastructure and engineering retained by your team. Heroku bundles more runtime operations into its service, while application topology and add-ons determine the bill.

Northflank Cloud runs workloads on managed infrastructure. With self-serve BYOC, Northflank provisions and manages Kubernetes in your AWS, GCP, Azure, or other supported cloud account. Your organisation retains its VPC, cloud bill, commitments, and capacity choices, while developers use the same workflows.

Those workflows cover services, workers, one-off and scheduled jobs, and managed databases, caches, and queues. Teams can create full-stack previews with services, jobs, databases, volumes, secrets, private networking, and automated cleanup.

Northflank supports horizontal autoscaling using CPU, memory, requests per second, or custom Prometheus metrics. GPU services and jobs can run on Northflank Cloud or compatible BYOC GPU node pools.

Northflank includes granular RBAC and secret management. Enterprise adds governance and support options including SAML or OIDC SSO, directory sync, audit logs, policy controls, workload identities, high-availability and disaster-recovery options, 24/7 support, and custom SLAs. Customer-cloud, eligible on-premises, and private deployment options support teams with stricter networking, data-boundary, or compliance requirements.

We recommend Northflank when you want developer self-service without choosing between a self-operated Docker platform and a vendor-operated runtime.

Yes, for teams prepared to supply and operate servers. Dokploy recreates many PaaS workflows on Docker infrastructure you control, while Heroku provides the runtime as a managed service.

No. Dokploy Cloud manages the control plane, but your connected servers run the workloads. Self-hosting also leaves the control plane with your team.

Yes. Cedar-generation apps can deploy container images through Heroku Container Registry. Fir builds OCI-compatible images with Cloud Native Buildpacks.

Dokploy runs database containers on your servers. Heroku offers managed data services and add-ons. Northflank provides managed databases, caches, and queues on Northflank Cloud and BYOC.

Dokploy provides GitHub pull-request previews for applications. Heroku Review Apps create disposable pipeline apps and can provision declared add-ons. Northflank Preview Blueprints can reproduce a connected stack of services, jobs, databases, volumes, and networking.

It depends on workload usage and operational cost. Include Dokploy's servers and maintenance, or Heroku's dynos, data services, add-ons, and private resources, rather than comparing only entry prices.

Use Northflank when you need managed services, jobs, databases, full-stack previews, autoscaling, GPU workloads, and a choice between managed infrastructure and self-serve BYOC.

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