01A short comparison
AWS
- Often a good fit when
- You want the widest choice of services, and engineers who know it are easy to find
- Worth knowing
- More services means more to learn and to keep tidy
Azure
- Often a good fit when
- You already use Microsoft 365, Active Directory, .NET or SQL Server
- Worth knowing
- It fits naturally with Microsoft identity and licensing
Google Cloud
- Often a good fit when
- Data, analytics or machine learning are central, or you want managed Kubernetes (GKE)
- Worth knowing
- A smaller service catalogue than AWS, with strong data tooling
02What should decide it
- Your team's skills: the cloud your people already know is cheaper to run
- Your existing tools: Microsoft shops often find Azure easier
- What you are building: data and ML workloads often lean to Google Cloud
- Customer or regulator requirements about where data lives
- Support and local presence in the regions you need
- Total cost, which depends on how you use it more than on list prices
03Do you have to choose only one?
Many companies use more than one, for example Azure for identity and Microsoft workloads and AWS or Google Cloud for products. A second cloud adds skills and cost, so add one only for a clear reason.
- Keep infrastructure as code, so setups can be rebuilt anywhere
- Use containers and standard tools where you can, to keep options open
- Avoid deep dependence on a single provider's unique service unless the value is clear
04Cost and data location
Costs depend on usage, discounts and how well the setup is sized, so compare real designs, not price lists. If your data must stay in India, all three offer Indian regions, and access rules and encryption matter as much as location.
?Frequently asked questions
Which cloud is cheapest?
It depends on what you run and how it is sized. A reviewed design on each cloud gives a real comparison; list prices alone do not.
Can you work with all three?
Yes. MOUNTSMY works with AWS, Azure and Google Cloud, and gives a straight recommendation after a short call.
Can we move later?
Yes, but it is easier if you use infrastructure as code and containers from the start.
Where should we start?
With the cloud your team and tools already fit, unless a clear need points elsewhere.