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What Brazilian alternatives are there to move off Railway, Heroku, or Vercel?
There are three kinds, and the choice depends on how much of the operations work you want to take on. To keep push-to-deploy, automatic HTTPS, and a managed database without running servers, there are Brazilian PaaS options such as Zenifra. For more control, there are local clouds such as Magalu Cloud and VPS plans from Brazilian providers, where you build the environment yourself. All of them run in the country and bill in reais. Below are the comparison, the costs, and a step-by-step guide to moving a Docker app.
Why Brazilian teams look for a way out
Railway, Heroku, and Vercel are good platforms, and almost nobody leaves them because of the deploy experience. The reasons are usually four others, and they show up together when the users are in Brazil.
The first one is distance. Heroku, Render, and Railway have no region in South America, and Vercel runs functions in Washington by default. On October 30, 2026, we measured from a fiber connection in the São Paulo area the round trip to servers in four regions.
| Server region | Measured round trip |
|---|---|
| São Paulo, Brazil | 11 ms |
| Virginia, US | 130 ms |
| Frankfurt, Germany | 155 ms |
| California, US | 181 ms |
The second is the US-dollar invoice, card only, with 3.5% IOF and the daily exchange rate. The third is support in English, in another time zone. The fourth shows up early in a project: entry plans that sleep without traffic, and the end of Heroku’s free plan in 2022.
Brazilian alternatives, by type
A Brazilian PaaS is the most direct replacement. You connect the GitHub repository or point to a Docker image, and the platform builds it, publishes it with HTTPS, shows the logs, and scales it. The workflow stays close to what you already have, and the managed database runs in the same region. On Zenifra, for example, applications, PostgreSQL, Valkey, and the AI API live in the same console, with infrastructure in São Paulo.
A local cloud such as Magalu Cloud offers virtual machines, Kubernetes, storage, and managed MySQL and PostgreSQL, priced in reais. It is a good option if you already run Kubernetes or want to build your own environment, but deploys from GitHub and per-application HTTPS are up to you.
A VPS from a Brazilian provider is the cheapest and the most work. Open-source tools such as Coolify and Dokku recreate part of the PaaS experience on top of a VPS, but security updates, database backups, and what to do when the server goes down are still yours.
Finally, AWS, Google Cloud, and Azure have regions in São Paulo. They are not Brazilian alternatives, but they solve latency. In return, you assemble networking, load balancing, databases, and scaling, and you need to check which currency the contract is billed in.
| Criterion | Brazilian PaaS | Local cloud | Local VPS | Global cloud in São Paulo |
|---|---|---|---|---|
| Deploy on every GitHub push | Built in | You build it | You build it | You build it |
| HTTPS and domain | Automatic | You configure it | You configure it | You configure it |
| Managed database | Yes | Yes | No | Yes |
| Server security updates | The platform | You, on virtual machines | You | You, on virtual machines |
| Currency | Reais | Reais | Reais | Depends on the contract |
What changes when you leave each platform
Leaving Railway is usually the simplest move. Each service becomes a project, environment variables are copied over, and PostgreSQL comes out with a pg_dump using the database’s public URL. If you use MySQL or MongoDB through templates, check first whether the destination offers the same database. Zenifra, for example, has PostgreSQL, MariaDB, ClickHouse, and Valkey, but not MongoDB.
Leaving Heroku, look at the Procfile. The command on the web line becomes the project’s start command, and the application has to listen on the configured port. Config Vars come out with heroku config, and the database with heroku pg:backups:capture followed by heroku pg:backups:download. Third-party add-ons such as monitoring and email keep working, because they are external services reached through environment variables.
Leaving Vercel is a change of model. Serverless functions become an always-on server: a Next.js app runs with next build and next start, and variables come out with vercel env pull. API routes, middleware, and server rendering keep working. What changes is that caching and image optimization run on your own server instead of a global CDN. For an audience concentrated in Brazil, the trade usually pays off. For an audience spread around the world, not always.
How do I move my app from Docker to a Brazilian cloud with lower latency?
If the app already runs in Docker, the move is taking the same image to a registry, creating a project from it in a region in Brazil, and moving the database to the same region. The code does not change. In practice, the work fits in five steps, and only the database step needs a maintenance window.
- Confirm the image starts on its own with docker run, takes its configuration from environment variables, and listens on a known port. If it depends on files mounted from your machine, move that configuration to variables before you continue.
- Push the image to a registry such as Docker Hub, GitHub Container Registry, or a private registry. On Zenifra, private images work by entering the registry credential when you create the project.
- Create the project from the image, set the port, and add the variables. If the application writes files that need to survive a new deploy, turn on persistent storage or, better yet, send uploads to S3-compatible file storage.
- Create the database in the same region as the application, take a dump with pg_dump --format=custom, and restore it with pg_restore. Connect the application to the database through a private connection, without exposing the database to the internet.
- Test on the platform URL. A day before the switch, lower the DNS TTL to a few minutes. At switch time, stop writes on the old database, take the final dump, restore it, and point the domain. Keep the old environment running for a day or two in case you need to roll back.
If you use docker compose, each service with an HTTP port becomes a project, the compose postgres service becomes a managed database, and redis becomes Valkey. Named volumes become persistent storage or object storage, depending on the kind of file.
The latency gain comes from distance. A first visit to an HTTPS site makes at least three round trips before the first byte. With the server in Virginia, that is about 390 ms of network time alone. With the server in Brazil, about 33 ms. And the gap grows when the application talks to a database on another continent: 20 sequential queries at 130 ms each add up to 2.6 seconds of waiting.
What the switch costs
To compare similar entry plans, we took an always-on application with about half a CPU and 512 MB of memory. Prices for the other platforms were checked on their official pages on September 29, 2026, and Zenifra prices on the public plans API on October 30, 2026.
| Platform | Plan | Per month | How it is billed |
|---|---|---|---|
| Railway | Hobby, with 0.5 vCPU and 0.5 GB used all month | US$15 | US$5 subscription with US$5 of included usage, plus US$20 per vCPU and US$10 per GB of memory a month |
| Heroku | Basic, 512 MB | US$7 | US dollars on a card, plus IOF |
| Render | Starter, 0.5 CPU and 512 MB | US$7 | US dollars on a card, plus IOF |
| Vercel | Pro | US$20 | US dollars on a card, with US$20 of included usage |
| Zenifra | Basic, 0.5 vCPU and 512 MB | R$ 29.90 | Reais, by PIX, boleto, or card |
Adding a database barely changes the proportions. The smallest paid PostgreSQL costs US$5 on Heroku and US$6 on Render. On Zenifra, the Starter plan costs R$ 11.90 a month, plus R$ 0.20 per GB of disk. If your application only runs part of the time, Zenifra’s hourly billing starts at R$ 0.05 an hour on the Basic plan.
List price is not the only cost of a migration. Count the team’s hours to move variables, the database, and the domain. For an app with one service and one database, that usually fits in an afternoon, and most of the time goes into testing.
Before you flip the switch
A good migration starts with an inventory. List every service, its start command, port, environment variables, databases, volumes, domains, and scheduled tasks. Tasks that run on a cron inside the application deserve attention, because with more than one instance they run twice. On a PaaS, they belong in a scheduled Job.
Then run the application at the destination against a copy of the database and compare. Open the main pages, sign in, run a test purchase if that applies, and check the logs. Only then schedule the switch window, ideally at a quiet hour, and let users know if there will be a few minutes without database writes.
When to stay where you are
Not every application gains from the switch, and it is worth being honest about that.
If most users are in the US, Europe, or Asia, Render and Railway are already closer to them. If the project is a Next.js site with lots of static content, Vercel’s CDN serves that content close to any user, including in Brazil. If you depend on specific Heroku add-ons or on Private Spaces for compliance, the migration means replacing each piece.
And if your app uses MongoDB, MySQL, or another database that the destination does not offer as a managed service, you will need a separate vendor for the database, which reduces the advantage of having everything in one place.
In short
Brazilian alternatives exist, and they split by how much work they leave with you. A PaaS if you want to keep push-to-deploy without running servers, a local cloud if you want control and already operate infrastructure, a VPS if you have time and a tight budget. In all of them, servers in the country and invoices in reais.
If your app is already in Docker or on GitHub, Zenifra lets you test the migration with a free project and database before you touch the domain.