Heroku Alternatives in 2026: An Honest Comparison

Before anything else, the thing nobody searching for Heroku alternatives is told: almost every list on the first page of Google was written by one of the alternatives. Open three of them and you will get three different winners, each of them the company that published the list. That is not dishonesty exactly — it is just what happens when the only people motivated to write this page are the ones selling a slot on it.

So, our disclosure up front. DeployForMe sells something too. We are not a platform, though — we are a deployment service, which means we are not competing for the slot the platforms below are competing for. That is the entire reason we can describe them fairly. If you read this and go to Render, we have not lost anything.

First, work out why you are actually leaving

People arrive at this search for genuinely different reasons, and the reasons point at different answers. It is worth naming yours before looking at any options.

• The free tier is gone. Heroku retired its free plans, and a lot of side projects, student work, and internal tools have been looking for a home ever since. If this is you, the honest answer is that you want the cheapest thing that still works — and that is a much easier problem than the rest of this article.
• The bill grew faster than the app. The economics that feel fine for one service tend to bite once you have a web process, a worker, a staging copy, and a database. This is a real reason to move, but it is worth checking where the money is actually going first, because the same shape of bill appears on most platforms.
• You have outgrown the abstraction. You need something the platform model does not express — a persistent volume, a private network, a GPU, an unusual runtime, tighter control over where things run.
• Someone in procurement blocked it. A customer or a compliance team will not accept a shared multi-tenant platform for this data. This is the one constraint on the list that eliminates most of the options outright — we go through what actually gets through review in HIPAA-compliant app deployment on AWS.
• You never wanted to run a platform at all. You picked Heroku because it meant not thinking about infrastructure, and every alternative you have looked at seems to involve thinking about infrastructure.

Hold on to your answer. It matters more than any feature comparison, because the options are not really ten products — they are four directions.

The four directions, not the ten logos

Every named Heroku alternative you will find belongs to one of four categories. Choosing the category is the actual decision; choosing the logo inside it is comparatively easy and much easier to reverse.

1. Another self-serve platform

Render, Railway, Fly.io, DigitalOcean's App Platform, Northflank, Qovery, Vercel and Netlify for frontend-shaped work. Connect a Git repository, the platform builds and runs it. This is the closest thing to the experience you already have, and for most people leaving Heroku it is the right answer.

Choose this when your app is a reasonably ordinary web service, you want to keep deploying by pushing to a branch, and no compliance requirement forbids multi-tenant infrastructure.

Be careful when the reason you are leaving is cost, because you may be buying the same structure at a different price. The trap is comparing the advertised entry price rather than what you will actually be running — we pull that apart in Railway vs Render vs Vercel: the true cost of deployment, which is the page to read once you have decided this is your direction.

2. A raw cloud account

AWS, Google Cloud, or Azure directly — containers on ECS, Cloud Run, or Container Apps, with a managed database alongside. Best long-run economics, no ceiling on what you can build, and the option every enterprise buyer is comfortable with.

Choose this when you have real scale, an unusual requirement, or a customer who needs the workload to live in a specific account or region. It is also the only direction that lets you run inside your customer's own cloud.

Be careful when nobody on the team wants to own it. A raw cloud account is not a product you buy, it is a project you staff. Networking, IAM, build pipelines, secret storage, logging, and alerting are all now yours, and none of them were on your roadmap.

3. Self-hosted open source

Coolify, Dokku, CapRover, Kamal and similar tools recreate a Heroku-like push-to-deploy experience on a server you rent. The software is free; you provide the machine and the attention.

Choose this when you enjoy this kind of work, the workload is small or non-critical, and your time is genuinely cheaper than the hosting difference.

Be careful when the app matters. You have not removed the platform, you have appointed yourself to run it — including the upgrades, the backups, the disk filling up, and the certificate that expires while you are on holiday. For a hobby project that is a fair trade. For something with users, it is a second job.

4. Have someone else do the deployment

The direction the other lists leave out, because none of them can sell it: you can stop operating a platform entirely and have the deployment done and run for you. This is what we do — you send a repository, we build the pipeline, provision the infrastructure, and hand back something running, either managed by us or inside your own AWS, GCP, or Azure account.

Choose this when the reason you were on Heroku in the first place was to avoid infrastructure work, and every alternative you have evaluated quietly hands it back to you. Also when the migration itself is the obstacle — a one-off piece of work standing between you and a platform you have already chosen.

Be careful when — and we would rather say this than have you find out later — you want to keep changing your own infrastructure daily, you are optimising purely for the lowest possible monthly bill, or you have an in-house engineer who already owns this and enjoys it. In those cases one of the first three directions is a better fit, and we would tell you so.

The comparison that actually matters

Deliberately, this table contains no prices and no feature checkboxes. Those change every quarter and every vendor's list already has them, usually shaded in their own favour. What does not change is who ends up holding each piece of work.

What actually breaks when you leave Heroku

This is the part the listicles skip, and it is the part that costs you a weekend. Whichever direction you pick, your codebase has quietly absorbed a set of assumptions over the years. None of them are Heroku's fault. All of them surface the moment you move.

The Procfile stops meaning anything

Your Procfile is the only written record of how your app is supposed to start, and outside Heroku it is an ordinary text file that nothing reads. Before you migrate, open it — it is the specification you are about to reimplement:

web: gunicorn app:app --workers 4
worker: celery -A app.tasks worker
release: python manage.py migrate

Each line becomes something different elsewhere: the web line becomes your container command, worker becomes a second service you must remember to create, and release becomes a migration step in your deploy pipeline. That third line is the one people forget, and forgetting it means your first deploy runs new code against an old schema.

Buildpack magic becomes a Dockerfile

Buildpacks inspected your repository and worked out how to build it. Nothing else will do that for free. Most alternatives want a container image, which means writing down explicitly what was previously inferred — the runtime version, the system packages, the build step, the start command:

FROM python:3.12-slim

# System packages a buildpack would have added for you
RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential libpq-dev && rm -rf /var/lib/apt/lists/*

WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY . .

# The web line from your Procfile, made explicit
CMD ["gunicorn", "app:app", "--workers", "4", "--bind", "0.0.0.0:8080"]

Two details bite here. Bind to 0.0.0.0, not localhost, or nothing outside the container can reach your app. And read the port from the environment if your new host assigns one, rather than hardcoding it — the same lesson your app already learned when it started reading PORT.

The ephemeral filesystem was hiding a bug

If your app writes anything it expects to keep — user uploads, generated PDFs, a SQLite file, a cache directory — that code was already living on borrowed time, because the disk under a dyno does not survive a restart. Some people discover this only during a migration, when the behaviour changes shape. The fix is the same either way: uploads belong in object storage, state belongs in a database.

This is the single most common thing we see break in an app that has never left its original host, and it shows up well beyond Heroku — it is item two in our production readiness checklist.

Config vars are not the same as secret storage

Config vars gave you one flat namespace that was the same everywhere. On a new platform you will have to decide something you never had to decide before: which of those values are configuration, which are genuinely secret, and who is allowed to read them. Dump them before you migrate, then sort them by hand:

heroku config -s -a your-app > migrated.env

# Then split: real secrets go to a secret manager,
# ordinary settings can stay as plain environment config.
grep -E "(SECRET|KEY|TOKEN|PASSWORD|DSN)" migrated.env

Treat this as the moment to rotate anything that has been sitting in that namespace since 2019. Anyone who has ever had access to the app has already seen it.

Your database add-on becomes your database

This is the highest-risk part of any migration and the one to plan first. An add-on database came with its backups, its upgrades, and its connection string handled for you. Wherever it lands next, someone has to own those things again.

Two practical warnings. Check whether your framework needs the connection URL rewritten — older SQLAlchemy setups famously reject a postgres:// scheme and want postgresql://, which is a five-second fix that costs an hour if it surprises you at cutover. And verify your restore before the cutover, not the backup:

# Take the dump, then prove it restores somewhere harmless
pg_dump "$OLD_DATABASE_URL" -Fc -f backup.dump
pg_restore --list backup.dump | head        # sanity-check the contents
pg_restore -d "$NEW_DATABASE_URL" --no-owner backup.dump

A backup nobody has restored is a hope, not a backup.

Push-to-deploy becomes a pipeline

git push heroku main was doing three jobs at once: build, release, and run. Most alternatives split those apart, which is better engineering and more setup. You will end up with a CI workflow that builds an image, pushes it to a registry, and tells the platform to roll it out. Budget an afternoon for this, and keep the old deploy path alive until the new one has succeeded twice.

So which one should you pick?

Reduced to a single paragraph, because the length of these articles is usually inversely related to their usefulness. If it is a small project and cost is the whole problem, take a self-serve platform's cheapest tier and stop reading. If you have a real application and someone on the team likes infrastructure, go to a raw cloud account and do it properly. If a customer or an auditor is the reason you are moving, it has to be your own cloud account and the sooner you accept that the better. And if you are moving because you never wanted to operate infrastructure in the first place, do not pick the option that hands you more of it — that is the case where either a fully-managed platform or having the work done for you is the honest answer.

When having someone else do it is the right call

We will keep this short, since you can already tell what we do. A migration off a platform is an unusually good fit for outside help because it is bounded: there is a working application on one side and a working application on the other, and the messy part in between happens once. It is not an ongoing engagement, and it does not need a hire.

We take the repository, work out what it actually needs, and deploy it — as a managed API we run, or inside your own AWS, GCP, or Azure account where your data and billing stay yours. The category name for this is DevOps as a service, though most providers in that category sell a retainer and a team to manage rather than a finished deployment.

If you want a second opinion on where your app should go — including one of the three directions we do not sell — send us the repository and we will tell you what the migration actually involves. A human reads every request and there is no commitment to get an answer.