AWS vs Azure vs Google Cloud: Which Is Best for Small Businesses?

Moving to the cloud no longer means choosing between "cloud" and "no cloud". It usually means choosing which cloud. Amazon Web Services (AWS), Microsoft Azure and Google Cloud are the three largest public cloud platforms, and each can run almost anything a small business needs: websites, databases, file storage, backups, email systems, analytics and custom applications.

So how do you choose? The honest answer is that all three are capable, and the right choice depends more on your existing tools, your team's skills and the specific services you need than on any headline feature. This guide explains the differences in plain language.

A quick overview of each platform

Amazon Web Services (AWS)

AWS is the longest-established of the three and offers a very wide range of services. Common building blocks include EC2 (virtual servers), S3 (object storage), RDS (managed databases), Lightsail (simplified servers for smaller projects) and CloudFront (content delivery). Because it has been around the longest, there is a large community, extensive documentation and many professionals with AWS experience.

Often a good fit for: web applications, startups building custom software, businesses that want the widest choice of services.

Microsoft Azure

Azure integrates closely with Microsoft products that many businesses already use: Microsoft 365, Windows Server, Active Directory (now Microsoft Entra ID), SQL Server and .NET applications. If your office runs on Microsoft tools, Azure can simplify identity management and licensing.

Often a good fit for: businesses already invested in the Microsoft ecosystem, Windows-based applications, organisations that need strong directory and identity integration.

Google Cloud

Google Cloud is known for data analytics, machine learning and Kubernetes (container orchestration originated at Google). Services such as BigQuery make large-scale data analysis accessible. It also integrates with Google Workspace.

Often a good fit for: data-heavy projects, analytics and AI workloads, container-based applications, businesses using Google Workspace.

Comparing what matters to small businesses

Free tiers and credits change over time, so check each provider's current offers before deciding.

Understanding cloud pricing

Cloud pricing can feel complicated because you pay for what you use, often per hour, per gigabyte or per request. A few principles help:

• Compute (servers) is usually the largest cost. Choose sizes that match real usage, not guesses.
• Storage is cheap per gigabyte but grows quietly; set lifecycle rules to archive or delete old data.
• Data transfer out of the cloud (to the internet) is charged on all three platforms; plan for it if you serve large files.
• Managed services (databases, load balancers) cost more than running software yourself but save maintenance time.
• Commitment discounts (reserved instances, savings plans, committed use) can reduce costs significantly for steady workloads.

The single most important habit is to set budgets and alerts on day one. All three platforms let you receive an email when spending crosses a threshold.

Questions to ask before choosing

1. What do we already use? Microsoft 365 and Windows servers point towards Azure; Google Workspace and analytics work may point towards Google Cloud; custom web apps run well anywhere.
2. What exactly will we run? A WordPress site, a custom application, file storage, a database, virtual desktops? List them.
3. Who will manage it? If you will hire a professional, the availability of people with the right experience matters. All three have large talent pools, AWS and Azure especially.
4. Where are our users? Choose a region close to your customers for speed, and consider data residency requirements in your country or industry.
5. What is our budget? Estimate monthly costs using each provider's pricing calculator before committing.

Common small-business scenarios

A business website or online store

All three platforms work well. For simplicity, many small businesses use a single managed server (for example AWS Lightsail or a small virtual machine on any platform) with automated backups and a content delivery network. The professional you hire and their familiarity with the platform matter more than the platform itself.

Office file storage and collaboration

If your team uses Microsoft 365, OneDrive and SharePoint already include cloud storage; Azure adds options for backup and identity. If you use Google Workspace, Google Drive covers most needs. You may not need a separate cloud platform at all for this.

A custom application with a database

Any of the three is suitable. Managed databases (Amazon RDS, Azure SQL Database or Azure Database for MySQL/PostgreSQL, Google Cloud SQL) reduce maintenance and simplify backups.

Data analysis and reporting

Google BigQuery is popular for analytics; AWS and Azure have strong equivalents. If your reporting team already uses Power BI, Azure integration can be convenient.

Avoiding common mistakes

• Leaving test servers running. Shut down or delete resources you no longer need.
• Using the root or global admin account daily. Create individual users with limited permissions and enable multi-factor authentication.
• No backups. Cloud does not mean automatically backed up. Configure backups and test restoring them.
• Public storage by accident. Check that storage buckets and containers are private unless intended otherwise.
• No cost alerts. Set them up before anything else.

Should you use more than one cloud?

Using multiple clouds adds complexity in skills, security and billing. For most small businesses, one primary platform is the right choice. Multi-cloud makes sense mainly when specific services are clearly better elsewhere or when a client contract requires it.

Getting expert help

A short consultation with an experienced cloud professional can save months of trial and error. They can recommend a platform, estimate costs, set up secure accounts, configure backups and train your team. On Dreqto you can browse cloud and DevOps professionals with AWS, Azure or Google Cloud skills, check their experience and send a connection request when you find a good match. Many also teach, if you would rather learn to manage the cloud yourself.

Frequently asked questions

Is the cloud always cheaper than running our own server?

Not always. The cloud removes upfront hardware costs and makes scaling easy, but steady workloads running all year can sometimes cost more than owning hardware. The real savings usually come from reduced maintenance, better reliability and paying only for what you need. Estimate both options honestly before deciding.

Can we move from one cloud provider to another later?

Yes, but the effort depends on how much you rely on provider-specific services. Standard building blocks such as virtual servers, common databases and containers move relatively easily; deeply integrated proprietary services take more work. Keeping architecture simple and documented makes future moves easier.

Do we need a full-time cloud engineer?

Most small businesses do not. A professional can set up the environment, security, backups and monitoring as a project, then provide occasional maintenance. A full-time role becomes sensible as systems grow more complex or critical.

Summary

AWS offers the widest range of services and a large community; Azure is the natural choice for Microsoft-centred businesses; Google Cloud stands out for data, analytics and containers. All three are reliable. Start from what you already use, list what you need to run, estimate costs, set budget alerts and choose the platform for which you can find good people. That decision process matters far more than the logo on the console.