Heroku Alternatives: The Complete 2026 Migration Guide

Published 2026-07-13 · verify current pricing on each provider.

This guide is for engineering teams and solo developers currently running apps on Heroku who want to understand what its shift to “sustaining mode” actually means and how to evaluate a move. It covers what changed, what to look for in a replacement, and where each of the leading alternatives genuinely fits.

What actually changed with Heroku

In February 2026, Salesforce moved Heroku into a sustaining engineering model. In plain terms: the platform still gets security patches and stability fixes, but no new features and no forward roadmap. Salesforce also stopped offering Heroku enterprise contracts to new customers.

Two things are worth being clear about, because coverage tends to exaggerate in both directions:

• There is no announced shutdown. As of mid-2026, credit-card customers — existing and new — can keep deploying with no changes to billing or service. Your apps are not being turned off next quarter.
• The platform is frozen, not dead. What you have today is roughly what you’ll have in two years. No new runtime capabilities, no modern deployment primitives, no catching up to competitors.

Heroku also removed its free tier back in November 2022. The cheapest dyno (Eco) sleeps after 30 minutes of inactivity, and a realistic production setup — one always-on dyno plus managed Postgres and Redis — is no longer cheap, and often costs more than equivalent capacity on the alternatives below. So for many teams the question isn’t “will Heroku disappear?” but “am I paying a premium for a product that has stopped improving?”

Do you have to migrate right now? No. If your app is stable and the cost is acceptable, staying put is a legitimate choice. The stronger reasons to move are: you want features Heroku will never ship (better autoscaling, global regions, cheaper compute), you’re already paying enough that a switch pays for itself, or you don’t want a dependency that is in maintenance-only mode long-term.

What to look for in a replacement

Heroku’s magic was never the servers — it was the workflow: git push, buildpack auto-detection, add-ons, and a Procfile that just worked. When evaluating alternatives, weigh these dimensions honestly against your app:

• Build model — Does it auto-detect your stack (buildpack/Nixpacks style), or do you need a Dockerfile? Auto-detection is easier day one; a Dockerfile gives you control when your build is non-trivial.
• Managed data services — Postgres and Redis/key-value as first-class managed products, with backups, point-in-time recovery, and read replicas if you need them.
• Pricing model — Flat and predictable vs. usage-based. Predictable billing is easier to budget; usage-based can be cheaper for bursty or low-traffic apps but harder to forecast.
• Scaling — Vertical (bigger instance) is universal; horizontal autoscaling and scale-to-zero vary a lot between platforms.
• Background workers and cron — Most Heroku apps run more than a web process. Confirm workers, scheduled jobs, and release-phase equivalents exist.
• Company trajectory — After watching Heroku freeze and Koyeb pivot, “is this vendor actively shipping and financially aligned with my use case?” is now a real selection criterion.

The leading alternatives in 2026

Render — the closest philosophical successor

Render is a platform many Heroku users move to, because it mirrors the Heroku mental model closely: buildpack-style auto-detection, managed Postgres and key-value stores, background workers, cron jobs, and preview environments per pull request. Pricing is flat and predictable — a workspace plan plus per-service compute prorated by the second — which makes budgeting straightforward. Horizontal autoscaling is available on higher tiers, and managed Postgres includes backups, point-in-time recovery, and read replicas on paid plans.

Best when: you run a steady, always-on app, want managed Postgres without surprises, and want the smallest conceptual jump from Heroku. Watch out for: storage autoscaling scales up but not back down, and the smallest instances can cold-start.

Railway — the fastest path from repo to URL

Railway optimizes for developer experience. Connect a GitHub repo and it auto-detects your runtime (via its Railpack builder) with no Dockerfile or config, and gives you a URL fast. Billing is usage-based, prorated by the second, with an opt-in scale-to-zero for services that sit idle — which is excellent for side projects, bursty traffic, and staging environments. Managed Postgres and other databases spin up in a click.

Best when: you want the lowest-friction deploy, have bursty or intermittent traffic, and prefer pay-for-what-you-use. Watch out for: usage-based bills are harder to forecast, and an always-on container still costs money whether or not it serves traffic.

Fly.io — global edge and Docker-level control

Fly.io runs your app as lightweight VMs (“Machines”) close to users across many regions, billed per second while running. It gives you the most control — full Docker, granular placement, and either its Managed Postgres or a database you run yourself — at the cost of expecting you to be comfortable with containers and networking. Raw compute is cheap at scale.

Best when: your users span continents and latency matters, or you want low-level control and Docker is second nature. Watch out for: usage-based billing can be unpredictable, and you own more of the operational surface than on Render or Railway.

DigitalOcean App Platform — predictable, inside a full cloud

DigitalOcean App Platform is built on Cloud Native Buildpacks (or your Dockerfile), runs components as services, workers, jobs, and functions, and offers managed databases with flat, transparent pricing and no per-request billing surprises. It’s actively shipping — recent additions include Bun runtime support, cron scheduling, and outbound VPC integration — and sits inside DigitalOcean’s broader ecosystem, so you can grow into Droplets or managed databases without changing vendors.

Best when: you want predictable bills, a buildpack-compatible migration path, and room to expand into a wider cloud. Watch out for: it’s less “batteries-included magical” than Render for pure PaaS workflows, though the gap is narrow.

Koyeb — now an AI-infrastructure play

Koyeb was a strong serverless PaaS, but in February 2026 it was acquired by Mistral AI. Since then it has closed its free Starter tier to new users and refocused toward AI inference and GPU workloads, with new sign-ups directed to its Pro plan and above. For a general-purpose Heroku replacement, it’s no longer the obvious pick — but it’s worth watching if your workload is AI/GPU-heavy and you want it colocated with model infrastructure.

Side-by-side

A practical migration playbook

Most Heroku migrations follow the same shape. The mechanics are usually a day or two of work; the surprises are what bite.

1. Map your Procfile to services. Each process (web, worker, etc.) becomes a separate service on the target platform. Railway reads a Procfile on import and creates one service per process; on Render you define each service in the dashboard or a render.yaml blueprint (a Procfile there only sets the start command).
2. Reproduce the build. Buildpack-based platforms (Render, DigitalOcean App Platform) and Nixpacks/Railpack (Railway) will auto-detect common Rails/Django/Node apps. For anything non-trivial — native gem compilation, custom system packages, pinned language versions — plan to write a real Dockerfile.
3. Migrate Postgres. Capture a dump (heroku pg:backups:capture then pg:backups:download) and restore into the new managed database with pg_restore --clean --no-acl --no-owner. The --no-acl --no-owner flags matter — they avoid errors from Heroku’s roles and grants.
4. Replace add-ons. Redis, mail, logging, and scheduling add-ons don’t come along. Swap in the platform’s native managed equivalents or third-party services, and re-point config vars.
5. Port config and secrets. Export config vars and recreate them as environment variables on the new platform.
6. Cut over DNS last. Provision, deploy, test on a temporary URL, verify TLS, then move DNS and keep Heroku running until the new setup is proven.

The seven things that commonly bite: forgotten config vars, add-ons with no direct equivalent, Heroku’s release-phase step, scheduled jobs, TLS/certificate setup, IP allowlisting, and reliance on the ephemeral filesystem (which behaves the same on every alternative — don’t store uploads on disk).

How to choose

• Want the smallest jump from Heroku with predictable bills → Render.
• Want the fastest, lowest-friction deploys or have bursty/idle traffic → Railway.
• Need global low latency or low-level Docker control → Fly.io.
• Want predictable pricing inside a broader cloud you can grow into → DigitalOcean App Platform.
• Building AI/GPU-first workloads → evaluate Koyeb, but not as a general PaaS.

There’s no single winner. The honest answer is that Render and DigitalOcean App Platform reproduce the Heroku experience most faithfully, Railway wins on developer experience for smaller apps, and Fly.io trades convenience for reach and control. Pick based on how much operational surface you want to own and how predictable you need the bill to be — then migrate one non-critical app first to validate your assumptions before moving anything that matters.

Pricing and platform details change; verify current plans on each provider before committing.