A small or mid-sized business that wants to leave Amazon Web Services (AWS) has four realistic alternatives. They are another hyperscaler, a developer cloud or dedicated server host, a self-serve application platform, and a managed regional cloud with an operations team attached. A fifth option is to stay on AWS and add governance and an operator. The right choice depends on which AWS services the application calls, who operates the environment today, and where the data has to live.
What counts as an alternative to AWS for a small or mid-sized business?
An alternative to AWS is any arrangement that replaces the platform, the operating model, or both. Five terms cover the field for a small or mid-sized business (SMB).
A hyperscaler is a public cloud with a very large service catalogue and many regions worldwide. AWS, Microsoft Azure and Google Cloud are the main ones.
A developer cloud sells virtual machines, storage and a short list of managed services through a simple console and a public price list. DigitalOcean is a common example. A dedicated server host rents whole physical machines by the month. OVH is a common example. Both are infrastructure as a service (IaaS), meaning the customer rents capacity and runs everything on top.
A self-serve platform as a service (PaaS) runs application code without exposing servers. The customer connects a code repository, and the platform builds, deploys and scales the application. Heroku and Render are examples.
A managed regional cloud is a provider that supplies infrastructure in one country or a few sites, plus the engineers who operate it under a written scope.
Staying on AWS with an operator keeps the platform and changes who is accountable for it.
How do the realistic AWS alternatives compare?
The table compares the five options on the criteria that usually decide the choice for an SMB.
| Option | Who operates it | Suits | What you give up |
|---|---|---|---|
| Another hyperscaler | Your engineers | A team with a commercial or technical reason to prefer that vendor | Little in capability. The complexity and the usage-based bill come with you |
| Developer cloud or dedicated server host | Your engineers | A conventional stack run by people who are comfortable with servers | Most proprietary managed services, some regions, and anyone else to operate the servers at night |
| Self-serve PaaS | The platform vendor runs the platform. Your team owns the application | A small product team that wants to ship code and avoid servers | Control of the operating system and network, and often a lower unit price at scale |
| Managed regional cloud | The provider, under a written scope | A conventional stack at a business with no operations staff | Region count, catalogue breadth, and often a public price list |
| Stay on AWS with governance and an operator | The provider, under a written scope | A sound AWS architecture that nobody owns | Nothing on the platform side. The usage-based bill remains |
The first three options change the platform and leave operations with the business. The fourth changes both the platform and the operator. The fifth changes only the operator.
Is another hyperscaler a real alternative to AWS?
Another hyperscaler is a real alternative to AWS when there is a specific reason to prefer it. Common reasons are an existing Microsoft licensing agreement, a data or analytics product the team already uses, or committed credits.
Moving from AWS to Azure or Google Cloud does not reduce complexity. All three use a shared responsibility model, in which the vendor runs the facilities and platforms and the customer configures, secures, patches and monitors what it builds. All three bill by usage across many line items.
Choose another hyperscaler for a capability or a commercial term. Do not choose one to escape cost or complexity.
When does a developer cloud or a dedicated server host fit?
A developer cloud or a dedicated server host fits a conventional application run by engineers who are comfortable operating servers. A conventional application here means a group of virtual machines, a relational database, a cache and object storage.
The appeal is a bill that is easier to predict. Each server carries a flat monthly price, and many of these providers include a bandwidth allowance with each server.
The trade-off is that the customer operates everything. Patching, backups, monitoring, security hardening and incident response stay with the business. The catalogue is short, so a queue, a search service or a data warehouse becomes something the team installs and runs itself.
The knowledge base guide to migrating from cPanel to DigitalOcean shows how much operating work a developer cloud leaves with the customer. A business with no engineer to carry that work has moved the problem without solving it.
When does a self-serve PaaS fit?
A self-serve PaaS fits a small product team that wants to push code and never log in to a server. The platform handles builds, deploys, certificates and scaling within the limits of its plans.
A self-serve PaaS gives up control. The team cannot tune the operating system, the network layout is mostly fixed, and background jobs or unusual runtimes may not fit the platform’s model. The price per unit of compute is usually higher than a rented server, which matters more as the application grows. Region choice is limited, so check it against any residency requirement before starting.
A self-serve PaaS operates the platform, not the application. When a release breaks production at night, the platform is healthy and the customer’s team still takes the incident.
When does a managed regional cloud fit?
A managed regional cloud fits a business that runs a conventional stack, has no operations staff, and wants one party accountable for both infrastructure and operations. The provider handles provisioning, patching, backups, monitoring and incident response under a written scope and a service level agreement (SLA), a contract that states availability and response commitments.
A managed regional cloud gives up reach and breadth. The provider has a few sites, often in one country. The catalogue covers servers, application platforms, databases and storage, without the proprietary services of a hyperscaler. Elastic scaling varies by provider and by product, so ask what is automated and what is a planned change. Many managed providers quote after scoping and publish no rate card, so a side-by-side price check needs a proposal from each.
When is staying on AWS the better answer?
Staying on AWS is the better answer when the architecture is sound and the pain comes from missing ownership. The signs are a bill nobody reads line by line, access left over from departed staff, untagged resources and backups that were never restored in a test.
Those are governance problems, and they can be fixed in place. The knowledge base ranks the usual cost fixes in the 12 levers that reduce an AWS bill. The work needs an owner, either a hire or a provider that operates the account. The companion article on managed cloud versus AWS for an SMB gives a framework for choosing between staying and moving.
Is there a Canadian alternative to AWS?
Canadian-owned cloud and managed cloud providers exist, and some operate regions only in Canada. They are a reasonable choice when a customer contract, a privacy officer or a public-sector buyer asks for Canadian hosting by a Canadian company.
Canadian data residency alone does not require leaving AWS. AWS, Azure and Google Cloud all operate Canadian regions. The points that decide residency are the same for every provider: where production data, backups and logs sit, which subcontractors can reach them, and whether the placement is written into the agreement.
The article on Canadian data residency requirements for a hosting provider lists what to request in writing. The knowledge base describes a Canadian-only deployment architecture in technical detail. A privacy officer, not a hosting provider, makes the legal determination.
What does it cost to leave AWS?
The cost of leaving AWS has two parts: the move, and the new monthly bill. A fair comparison counts both. Six drivers set the cost of the move.
- Re-engineering. Every AWS-native service the application calls needs a replacement. Virtual machines and standard databases move with the least rework. Serverless functions, managed queues and proprietary data services need redesign.
- Data transfer out. AWS normally bills for data leaving its network, so large storage volumes can make the exit itself a line item. Ask AWS which terms apply to a customer that is moving out. The guide to AWS data transfer costs explains where those charges come from.
- Parallel running. Both environments run during testing, cutover and the rollback window.
- Existing commitments. Reserved capacity and savings plans already purchased keep billing until they expire.
- Staff time. Engineers who work on the migration are not building the product.
- New operating work. Moving to a developer cloud can lower the invoice and raise the hours the team spends on servers.
To estimate the monthly side, export twelve months of AWS bills and group the charges by service. Add the engineer hours spent on patching, incidents and cost questions. The cloud cost calculator gives a benchmark estimate of likely waste, not a measurement of the real bill. The article on how managed cloud hosting is priced explains what moves a managed quote.
In one example scenario, described in the AWS to managed cloud example scenario, a Canadian software as a service (SaaS) company lowered its monthly run-rate by 54% after a twelve-week re-architected rebuild on Stack Harbor’s Cloud Compute. That figure includes the managed operating fee. The same proposal included a path that stayed on AWS, estimated to cut the bill by 28%. It is one result for one workload, not a typical saving. The example scenario also advises against a lift-and-shift, which copies every server to a new provider and carries the old architecture and its cost with it.
When is leaving AWS not worth it?
Leaving AWS is not worth it in five situations.
- The application is built on AWS-native services. Stack Harbor’s own AWS exit example scenario states that leaving will cost such a team in re-engineering.
- The business serves users on several continents. A global footprint needs a provider with many regions.
- Load is sharp and unpredictable. Usage-based billing and mature automated scaling suit a workload that swings widely within hours.
- Engineers already own the account well. A team that manages production as code and reads the bill gains little from a move.
- The footprint is tiny. One server and a storage bucket do not justify a migration project.
Company size is not on the list. A ten-person company with a serverless product can fit AWS well.
What should a business check before choosing an AWS alternative?
A business considering an AWS alternative should answer these seven questions in writing before requesting any proposal.
- Which AWS services does the application call directly, and which of them are proprietary?
- Who reads the AWS bill, reviews access and answers alerts today? Name the person.
- Where must production data, backups and logs live, and who requires it?
- What does load look like over a year, steady or sharply variable?
- What is the full monthly cost today, including staff hours on operations?
- What would the move cost across the six drivers above?
- After the move, who patches, monitors and responds at night?
If the answer to question 1 lists proprietary services at the core, stay on AWS and fix ownership. If question 7 has no answer, rule out the developer cloud and compare a managed provider with an operator for the current account. If the workload is portable and the team has engineers, a developer cloud or a PaaS is a fair candidate.
Where Stack Harbor fits
Stack Harbor is a Canadian-owned managed services provider (MSP) headquartered in Montréal, Québec. It operates production cloud environments, not office IT. It serves SMBs and agencies of roughly 5 to 200 people that run production systems without a 24/7 operations team of their own.
Stack Harbor is a managed regional cloud provider, the fourth option in this article, and it also operates AWS accounts for businesses that stay. Its Cloud Compute service provides virtual machines, bare metal, private VLANs (isolated internal networks) and all-flash storage in two data centres in Montréal. Cloud PaaS is a managed application platform with managed databases and autoscaling. For a business that stays on AWS, the managed AWS operations service works through a dedicated access role, and the root account stays with the client.
The limits are specific. Stack Harbor’s own regions are in Canada only. Regional cutover on Cloud Compute is a managed operation, not an automatic one. Horizontal scale-out on Cloud Compute is planned, not automated. Stack Harbor does not guarantee uptime. Its service level agreement commits to 99.9% monthly availability for its network and IaaS infrastructure, with a defined service credit as the sole remedy. Stack Harbor publishes no prices, so it cannot be compared on a rate card. A migration starts with a small, paid discovery that produces a written plan and a fixed-fee quote. The Trust and Security page sets out the compliance position, including that Stack Harbor holds no SOC 2 report, an independent audit of security controls, of its own.
