Choosing between AWS, Azure, and Google Cloud for a small business is easier when you start with the workload, not the provider’s feature list. The right cloud platform for small business workloads should fit the software you rely on, the skills available to manage it, your security needs, and the cost of keeping it running.
There is no universal winner. A platform that suits one company may be a poor match for another if key software is unsupported, staff lack the skills to operate it, or the recovery plan does not fit the business. Use the same workload and operating assumptions to compare all three.
Start with the workload you need to run
Before comparing providers, write down what the application needs. Keep the description specific enough that you could ask each provider or technical partner to estimate the same setup.
- Application and dependencies: Name the software, its vendor, connected services, and any required integrations.
- Operating system and database: Confirm whether the workload depends on Linux or Windows, a particular distribution, or a specific database.
- Performance and availability: Describe when the application must be available and what level of interruption the business can tolerate.
- Data and storage: Identify the types of information involved, how much storage is needed, and how data is backed up.
- Access and administration: Note how staff sign in, who needs administrative access, and who will handle updates and alerts.
A provider comparison is useful only when the workload assumptions match. AWS, Azure, and Google Cloud each have services that can be compared by purpose, but equivalent service names do not necessarily mean identical configurations or operating effort. The cloud service comparison from Google Cloud can help you map services across platforms.
Check compatibility before choosing a provider
Start with the software vendor’s documentation. Ask which cloud platforms and operating systems it supports, whether it requires a certified environment, and whether moving the application changes licensing or support. Confirm how it connects to identity tools, email, accounting, line-of-business software, and any on-site systems that will remain in use.
Then check the people who will operate the workload. A technically suitable platform may still be a difficult choice if no one on your team can manage its routine tasks. Consider who will oversee access, patching, monitoring, backups, performance issues, and after-hours incidents. If the business relies on Linux, include the team’s Linux administration experience in the decision rather than treating the operating system as a minor detail.
A cloud move also needs a plan for dependencies and cutover, not just a destination. Zevonix’s cloud migration guide offers a useful next step for thinking through the move itself.
Compare security, compliance, and data location
Do not assume that selecting a major cloud platform automatically makes a workload secure or compliant. The result also depends on how the environment is configured, who can access it, how activity is monitored, how data is protected, and what responsibilities are covered by your agreements with vendors and service providers.
For a business with specific compliance requirements, list the obligations that apply to the workload and have the right technical and compliance stakeholders confirm the design. Check where data will be stored and processed, what happens to backups, and whether the software vendor supports the proposed setup. Azure’s guide to selecting Azure regions explains why region selection is part of planning. Similar location and service checks should be made for whichever platform you are considering.
Healthcare organizations should take particular care to review how patient information is handled, which vendors have access, and what the relevant agreements and configurations require. A cloud provider’s available controls are not a substitute for checking the full arrangement. For related planning, see Zevonix’s guidance on documenting a healthcare security risk analysis.
Compare the full operating cost
An AWS Azure Google Cloud pricing comparison should use the same workload design and expected use. Looking only at the cost of computing can leave out expenses and work that affect the real operating cost.
Ask each provider or technical partner to account for:
- Compute, storage, and backup requirements
- Data transfer and connections to other systems
- Software licenses and vendor support
- Monitoring, security, and maintenance
- Support coverage and response arrangements
- The staff or partner time needed to operate the environment
Request a clear explanation of the assumptions behind each estimate. Ask what could cause costs to change, how usage will be reviewed, and who will receive alerts when something needs attention. Do not compare one provider’s fully supported design with another provider’s infrastructure-only estimate.
Make recovery part of the choice
Cloud hosting is not the same thing as a tested recovery plan. Decide how much downtime the business can tolerate and how much recent work it can afford to lose. Then confirm that backups are separate from the main workload, that someone is responsible for checking them, and that the business can restore the application and its data.
For a Florida business, also consider how a local disruption could affect staff access, connectivity, and recovery work. The state’s hurricane preparedness guidance is a useful reminder to include business continuity in broader preparedness planning. Zevonix’s disaster recovery guide can help you think through restoration priorities and testing.
Use a simple decision scorecard
For each platform, rate how well it meets the same requirements. Keep the reasons beside each rating so the decision is understandable later.
- Does the software vendor support this platform and configuration?
- Can the team or its IT partner operate it safely and consistently?
- Can the design meet the business’s security, compliance, and data-location needs?
- Can the business restore the workload within its acceptable recovery limits?
- Is the estimated full operating cost clear, including support and management?
If two choices appear close, give more weight to known software compatibility, practical support, and recovery confidence than to a long list of features the workload will not use. For a small business without in-house IT staff, be especially clear about who handles routine operations and who responds when something goes wrong.
Which platform should a small business choose?
Choose AWS, Azure, or Google Cloud based on the workload’s requirements and the business’s ability to manage the result. Start with the applications and integrations already in use, verify the vendor’s support position, compare a complete operating estimate, and test the recovery plan before committing.
Zevonix provides cloud services powered by AWS, Azure, and Google Cloud, along with managed IT and technology services. Its managed IT includes 24/7 monitoring, predictive analytics, and preventive maintenance, and its help desk support is available remotely and onsite 24/7. If you want help evaluating a workload, contact Zevonix at (386) 260-0777 to discuss the options.
Frequently asked questions
Which is better for a small business: AWS, Azure, or Google Cloud?
None is automatically better for every business. Compare the platforms against your software, team skills, security needs, recovery requirements, and full operating cost.
Can a small business run Linux workloads on these platforms?
Linux workloads can be part of a cloud design, but confirm the required distribution, application support, licensing, and management responsibilities before choosing a platform.
What cloud support does a small business need without in-house IT?
Make sure someone is accountable for access, updates, monitoring, backups, security alerts, and after-hours response. Agree on who handles each task before moving the workload.
How should a business compare cloud costs?
Compare the same workload and include computing, storage, backups, data transfer, licenses, support, monitoring, and the time needed to manage it. Ask for the assumptions behind every estimate.
What should a healthcare business check before putting patient data in the cloud?
Review the workload’s configuration, access controls, vendor support, data location, backups, and applicable agreements with qualified stakeholders. The platform alone does not establish that a particular setup meets the business’s requirements.