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Heroku vs dFlow

Heroku popularized developer-friendly deployments. dFlow builds on that idea by offering modern workflows, predictable pricing, and the flexibility to run on your own infrastructure or use dFlow-managed hosting.

Heroku

A classic managed platform that made app deployments accessible for developers who wanted to ship quickly with minimal setup.

Billing ModelUsage-based dyno pricing
Best FitTeams prioritizing simplicity
Infra ControlHeroku-managed
Scaling ModelDyno-based scaling
Recommended
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dFlow

A portable deployment platform for teams that want Heroku-like workflow speed with deeper infrastructure ownership and lower long-term lock-in.

Platform FeeFree (self-hosted)
Deployment ScopeApps, workers, and services
Infra ControlOwn nodes or managed option
Scaling ModelPolicy control by your team

Trade-offs that matter
side by side

Heroku simplified deployments for a generation of developers. dFlow extends that model with modern infrastructure, predictable costs, and lower lock-in portability.

CapabilityHerokudFlow logodFlow
Shipping Experience
Hosting model
Fully managed platform hosting
Self-hosted or dFlow-managed hosting
Git-based deploys
Built in
Built in
Custom domains and SSL
Supported
Supported with custom config options
Developer Workflow
Team permissions
Basic role controls
Granular roles and access controls
Build and runtime flexibility
Platform conventions first
More control over runtime and service behavior
Database strategy
Managed add-ons
Bring your own or choose managed
Control & Operations
Infrastructure ownership
Heroku-managed
You can fully own and run it
Scaling model
Dyno-based scaling
Worker-node and service-based scaling
Monitoring and logs
Limited by plan or add-ons
Worker-node level visibility
Vendor lock-in risk
Higher platform dependency
Lower lock-in with portable, self-hosted options
Cost model
Usage-based dyno billing
No platform fee on self-hosted; pay infrastructure costs
Open-source foundation
Closed-source platform
Open source core with self-hosting option

Built for real-world Heroku use cases

Everything you run on Heroku can run on dFlow with stronger infrastructure ownership, modern operations control, and cleaner long-term economics.

1

Migrate Buildpack Apps Without Rewriting

Keep buildpack compatibility while deploying to your own servers or cloud VMs, eliminating dyno pricing.

Move beyond dyno pricing constraints
2

Replace Dyno Workers With Real Scaling

Run worker and scheduler processes with explicit resource allocation instead of Heroku's dyno-per-process model.

Keep release simplicity with infra ownership
3

Private Networking Without Private Spaces Cost

Get encrypted service-to-service networking via Tailscale at a fraction of Heroku Private Spaces pricing.

Private networking for internal workloads
4

Consolidate Add-ons Into Your Own Stack

Run Postgres, Redis, and other services directly on your nodes instead of paying per-add-on platform margins.

Portable database and add-on strategy
Heroku BuildpacksDokkuDockerGitHubNext.jsRedisPostgreSQLTailscaleCloudflareMySQLMongoDBMariaDBHeroku BuildpacksDokkuDockerGitHubNext.jsRedisPostgreSQLTailscaleCloudflareMySQLMongoDBMariaDB

Ready to Move Beyond Heroku?

Migrate from Heroku to dFlow for modern deployment workflows, predictable costs, and the freedom to choose between self-hosted or dFlow-managed infrastructure.

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Heroku vs dFlow | dFlow