---
title: MapleDeploy vs Fly.io - Canadian Hosting Alternative
description: >-
  Compare MapleDeploy and Fly.io. Managed Canadian hosting with flat pricing vs
  US-incorporated infrastructure primitives with usage-based billing.
keywords:
  - fly.io alternative canada
  - fly.io canadian jurisdiction
  - fly.io pricing alternative
  - fly.io CLOUD Act
  - dedicated VM vs fly machines
faq:
  items:
    - question: Is MapleDeploy a good Fly.io alternative for Canadian teams?
      answer: >-
        Yes. MapleDeploy offers flat monthly pricing on a dedicated Canadian VM
        with git push deploys and one-click databases. Fly.io offers a Toronto
        region, but Fly.io is a US company subject to the CLOUD Act. Geography
        is Canadian, jurisdiction is not. MapleDeploy provides both.
    - question: Does Fly.io offer Canadian data sovereignty?
      answer: >-
        Fly.io has a Toronto region (yyz), so your data can sit in Canada
        geographically. But Fly.io is a US-incorporated company subject to the
        CLOUD Act. A US court can compel Fly.io to produce your data regardless
        of which region it's in. MapleDeploy runs on Canadian-owned
        infrastructure under Canadian jurisdiction.
    - question: How does MapleDeploy pricing compare to Fly.io?
      answer: >-
        MapleDeploy starts at $45 CAD/month for a dedicated 4 GB RAM VM with
        flat pricing. Fly.io bills separately for VMs, volumes, bandwidth, IPv4
        addresses, and SSL certificates. A comparable setup on Fly.io (2 GB
        performance VM, 10 GB volume, IPv4, bandwidth) runs roughly $35-50
        USD/month, with costs that scale unpredictably as you add services.
lastUpdated: '2026-04-15'
type: article
author: Ross Hill
locale: en_CA
site_name: MapleDeploy
slogan: Powerful hosting on Canadian soil
organization_url: 'https://mapledeploy.ca/'
logo: 'https://mapledeploy.ca//api/logo/lockup'
creator: MapleDeploy
publisher: MapleDeploy
founding_date: '2026-01-13'
email: hello@mapledeploy.ca
geo_region: CA-ON
geo_placename: Toronto
address_country: CA
area_served: Canada
application_category: DeveloperApplication
app_url: 'https://app.mapledeploy.ca'
llms_txt: 'https://mapledeploy.ca/llms.txt'
offers: >-
  Starter $45/mo, Pro $95/mo, Ultra $195/mo, Ultra 32 $395/mo, Ultra 64 $695/mo
  CAD
in_language: en-CA
canonical_url: 'https://mapledeploy.ca/compare/fly'
---

{% hero-section title="MapleDeploy vs Fly.io" %}
Canadian jurisdiction with flat pricing. Managed hosting instead of infrastructure primitives.
{% button href="https://app.mapledeploy.ca/signup" size="large" %}
Start your free trial
{% /button %}
{% /hero-section %}

{% intro-section %}
Fly.io is a capable platform that runs containers across a global network of regions, including Toronto. It appeals to developers who want fine-grained control over where and how their applications run. As a Canadian alternative to Fly.io, MapleDeploy takes a different approach: a dedicated VM in Toronto with managed Coolify, flat pricing, and Canadian jurisdiction at every layer. This page covers the differences in jurisdiction, pricing, and operational complexity.
{% /intro-section %}

{% comparison-table-section title="Side by side" competitor="Fly.io" %}
| Feature | Fly.io | MapleDeploy |
| --- | --- | --- |
| Architecture | Firecracker microVMs on shared hosts | Dedicated VM per customer |
| Canadian region | Yes (Toronto yyz), but US jurisdiction | Yes, Canadian jurisdiction ([SLA](/legal/sla), [compliance docs](/legal/sla)) |
| Databases | Fly Postgres (unmanaged), [Managed Postgres](https://fly.io/docs/mpg/) (from $38 USD/mo), or bring your own | One-click, included |
| IPv4 | [$2 USD/mo per address](https://fly.io/docs/about/pricing/) | Included |
| Backups | Volume snapshots ($0.08/GB/mo) | Weekly full-server snapshots included, 30-day retention after cancellation |
| Platform source | Proprietary | Open source (Coolify) |
| Pricing | Usage-based (VMs + volumes + bandwidth + IPs, each billed separately) | From $45 CAD/mo (4 GB RAM dedicated VM, everything included) |
| Operational complexity | High (infrastructure primitives, networking, scaling config) | Low (managed platform, git push deploys) |
{% /comparison-table-section %}

{% content-section title="Geography is not jurisdiction" %}

Fly.io offers a Toronto region (yyz). Your application containers can run in Canada. Your data can sit on Canadian soil. That solves the latency question and the geography question.

It does not solve the jurisdiction question. Fly.io is a [US-incorporated company](https://fly.io/about/). The [CLOUD Act](/blog/us-cloud-act-canadian-businesses) applies to Fly.io regardless of which region you deploy to. A US court can compel Fly.io to produce data stored in Toronto the same way it can compel data stored in Virginia. The server is in Canada. The legal framework governing access to that server is American.

This is the same distinction that applies to [DigitalOcean's Toronto region](/compare/digitalocean). A Canadian data center does not create Canadian jurisdiction. Jurisdiction follows the company, not the server.

MapleDeploy runs on LunaNode, a [Canadian-owned infrastructure provider](/canadian-hosting) in Toronto. No US parent company, no US incorporation, no CLOUD Act exposure. Canadian jurisdiction at every layer, not just Canadian geography.

{% /content-section %}

{% content-section title="Usage-based pricing is hard to predict" %}

Fly.io bills separately for compute, storage, bandwidth, IP addresses, and SSL certificates. Each dimension has its own rate, and the rates vary by region.

A single application on Fly.io might look like this: a performance-1x VM with 2 GB RAM at roughly $32 USD/month, a 10 GB volume at $1.50/month, a dedicated IPv4 at $2/month, and bandwidth at $0.02/GB. That is around $36 USD/month before traffic. Add a second machine for redundancy, a managed Postgres database (from $38 USD/month), and moderate egress, and the bill climbs past $100 USD/month.

The challenge is predictability. Traffic spikes increase bandwidth costs. Adding a new service means a new VM, a new volume, and a new IP address. Scaling up means larger VMs at higher hourly rates. Each change shows up on the bill.

MapleDeploy charges a flat [$45 CAD/month](/#pricing) for a dedicated 4 GB RAM, 2 vCPU VM. Deploy as many applications, databases, and services as your resources allow. Bandwidth is included. IPv4 is included. SSL is included. The bill is the same every month.

{% /content-section %}

{% content-section title="Managed platform vs infrastructure primitives" %}

Fly.io exposes infrastructure primitives: machines, volumes, networking, scaling rules, health checks, secrets, and inter-service communication. This gives experienced operators fine-grained control. It also means more configuration, more decisions, and more surface area for things to go wrong.

Setting up a production application on Fly.io means writing a `fly.toml` configuration, managing machine sizes and counts, configuring volumes for persistent storage, setting up Postgres (Fly offers both an unmanaged option and a paid [managed option](https://fly.io/docs/mpg/) starting at $38 USD/month), wiring up private networking between services, and managing deployments through the Fly CLI.

MapleDeploy runs [Coolify](/open-source-stack), which provides a web dashboard for managing all of this. Connect a git repo, push to deploy, provision databases with one click, configure environment variables through the UI. The operational overhead is significantly lower. You trade fine-grained infrastructure control for a managed experience that handles the server layer for you.

For developers who enjoy managing infrastructure, Fly.io is a powerful tool. For teams that want to deploy and move on, a managed platform removes the distraction.

{% /content-section %}

{% content-section title="Migrating from Fly.io" %}

Fly.io applications are typically Docker-based, which makes migration straightforward. Your Dockerfile works as-is on Coolify. If you are using Fly's Postgres, export with `pg_dump` and import into a PostgreSQL instance on your MapleDeploy VM.

Configuration that lives in `fly.toml` (environment variables, health checks, scaling rules) maps to Coolify's application settings in the web dashboard. Fly's private networking between services is replaced by standard Docker networking on a single VM, which is simpler for most applications.

The main adjustment is moving from a multi-region, multi-machine model to a single dedicated VM. For applications that genuinely need global distribution, this is a tradeoff. For applications serving Canadian and North American users from a single origin, a dedicated VM in Toronto is simpler and more predictable.

{% /content-section %}

{% cta-section title="Canadian jurisdiction, not just Canadian geography" %}
One dedicated VM in Toronto. Flat pricing, managed platform, Canadian jurisdiction at every layer.
{% /cta-section %}