AWS vs Google Cloud

AWS and Google Cloud are the two platforms people weigh against each other most often, and the decision is rarely about raw capacity. What differs is how each one organises an account, how quickly a new environment becomes usable, and which configurations are available here today.

Configurations and prices in the catalogue

Both tables below are read from the live product records each time this page loads, so they always match the product pages.

The account model is the real difference

In AWS the account is the boundary. Resources live inside an account, permissions are written inside it, and the bill is drawn against it. Separating two workloads properly means separating accounts.

Google Cloud puts the project in that role. A billing account is attached to one or more projects, and a project is cheap to create and cheap to delete. Separating workloads usually means another project rather than another account.

That single difference shapes what follows: how you isolate a client, how you cap spend, how you hand an environment over, and how much cleanup a finished piece of work needs.

Where each one tends to fit

AWS suits

• Teams that already have AWS-shaped tooling, IAM policies or infrastructure code.
• Work that needs a very wide service catalogue in one place.
• Setups where a hard account boundary per client or per environment is a requirement.

Google Cloud suits

• Teams that create and tear down isolated environments frequently.
• Work that leans on managed data and analytics services.
• Anyone who wants per-project billing views without running many separate accounts.

What to check before you buy

• Which configuration above matches the vCPU count, credit balance or service access you actually need.
• Whether your workload depends on a region that has to be chosen at setup time.
• Whether quotas on a new environment cover your intended instance sizes. Quotas, not funds, are the usual first blocker.
• How you will rotate credentials and record ownership once the account is in your hands.

For the longer written comparison, read AWS and Google Cloud: How the Two Models Differ in the Cloud Library.

Questions