AWS vs Azure vs Google Cloud: Choose

AWS vs Azure vs Google Cloud

Choose the platform that satisfies your workload's constraints with the least operating friction. AWS, Azure, and Google Cloud all provide virtual machines, managed databases, container platforms, identity controls, and object storage. For an existing application, proximity to its data and the team's existing skills often matter more than differences between equivalent services. For a new application, test the few services on which the architecture actually depends.

This comparison is for developers and technical teams choosing a deployment platform, rather than choosing a certification. It uses comparable service categories as a starting point; similarly named services are not interchangeable contracts. Google's cross-cloud service comparison is useful for discovering candidates, but each candidate still needs its own operational evaluation.

TL;DR

Start with data location, identity, required services, and recovery objectives before comparing prices.
Give an existing, well-operated platform credit for deployment tooling, expertise, and incident response.
Compare complete workload costs, including databases, networking, logs, support, and engineering effort.
Verify service features in the exact region and tier you intend to use.
Prefer one primary cloud until a concrete requirement justifies the cost of operating several.

Quick Example

Copy this decision record into a project and fill in evidence from a small pilot. A candidate that fails a mandatory requirement is eliminated before scoring preferences. The numbers below describe an illustrative application's requirements, not provider guarantees.

The important output is an explained decision. A total score cannot compensate for an unavailable database feature or a recovery process nobody has tested.

Core Concepts

Compare services at the same responsibility level

A virtual machine, managed container service, and function platform ask different amounts of the operator. Comparing an inexpensive VM with a fully managed application platform without counting patching, deployment, scaling, and monitoring gives a misleading result. First decide what your team should own; then compare equivalent hosting models. Microsoft's compute selection guidance explicitly treats its initial choice as a candidate to validate, not a final answer.

Identity is part of the architecture

Map employees, build pipelines, and running services separately. AWS IAM controls access to AWS resources; Azure's management groups, subscriptions, and resource groups organize governance; Google Cloud uses an organization, folders, projects, and resources. These boundaries affect billing, policy inheritance, isolation, and incident response. See AWS IAM, Azure resource organization, and Google's resource hierarchy.

A region count is not an availability plan

An advertised global footprint does not tell you whether your selected service, hardware, backup destination, or failover option is available where you need it. Write down the actual region pair and the feature dependency. Check both normal operation and recovery: restoring an encrypted backup also requires access to the relevant keys and identities.

Head-to-Head

These are candidates to investigate, not promises of feature parity.

The table deliberately does not name a universal winner. For example, a SQL dialect, extension, transaction requirement, or existing license can eliminate an apparently equivalent managed database.

Build a Comparable Cost Model

Define the workload before entering a calculator

Record requests per month, peak arrival rate, CPU and memory per request, data size and growth, backup retention, and traffic destinations. Separate measurements from assumptions. If a prototype has never been load tested, label its capacity estimate rather than presenting it as measured throughput.

Model three operating conditions: a quiet period, the expected workload, and a sustained peak. A platform that is attractive while idle can behave differently under continuous utilization. Include deployment previews and development environments; they can become permanent spend even when production is efficient.

Include the costs between services

List internet egress, traffic between locations, load balancing, NAT or private connectivity, public addresses, database I/O, log ingestion and retention, and support. The EC2 pricing documentation illustrates why the instance price is only one component: data transfer and other infrastructure have their own pricing rules. Obtain current quotes for the selected region and contract rather than transplanting rates from a comparison article.

Also estimate engineering work. Someone must own access reviews, deployment failures, backup testing, upgrades, and service limits. That estimate is specific to your team: a familiar platform may cost less to operate even when a competing service has a lower list price.

Commit after measuring a stable baseline

Longer commitments can change the economics, but they also create utilization risk. Do not use an assumed discount to conceal uncertainty about whether the application needs the capacity. Start with a measured baseline and review unused resources. AWS's cost optimization framework treats cost as an operating discipline rather than a one-time procurement exercise.

Run a Selection Pilot

Build one thin vertical slice: authenticate a request, execute a representative database query, write an object, emit a trace, and deploy a new revision. Then introduce failures. Revoke the service's database permission, exhaust a connection pool, and restore a backup into an isolated environment. Observe whether alerts identify an actionable cause.

Measure tail latency and error rate under the same dataset and traffic pattern. Keep client location, connection reuse, cache state, and database indexes comparable. A test of an empty database next to one application's server is not evidence of another architecture's production performance.

For a migration, inventory provider-specific queues, identity claims, SQL extensions, encryption keys, and infrastructure definitions. Containers can make an executable portable while its data and permissions remain tightly coupled to a provider. Price the migration and rollback, including a period in which both environments exist.

Best Practices

Make mandatory requirements explicit

Write a short acceptance checklist before building the pilot. For example, require a successful restore, a private connection, and a deployment using temporary credentials. This prevents a persuasive demonstration of one service from substituting for the application's complete requirements.

Separate environments and ownership

Use deliberate account, subscription, or project boundaries with named owners. Apply budgets, resource labels, and access controls at the boundaries where your organization actually operates. An abandoned sandbox should not have a route to production data merely because both were created during the same experiment.

Keep recovery and exit plans realistic

Record how to export data, recreate configuration, rotate secrets, and recover access if the primary administrator is unavailable. Run a restore drill with ordinary operational permissions. A backup that requires undocumented administrator intervention is not yet an operational recovery procedure.

Common Mistakes

Selecting a provider from a service-name checklist

Bad: choose a cloud because every category in a comparison table has a matching logo.

Correct: verify the required region, supported database behavior, permissions, limits, recovery procedure, and actual workload performance for the selected services.

Treating multicloud as automatic resilience

Bad: place the API in one cloud and its only database in another, then describe the arrangement as failover.

Correct: identify shared dependencies, replication semantics, failover ownership, and the effect of a network partition. Adopt multiple providers only when the benefit justifies operating and testing that design.

Comparing introductory credits with normal operating costs

Bad: select the winner from the first month's promotional bill.

Correct: compare recurring costs after credits expire and model contract renewal, traffic growth, and recovery infrastructure separately.

FAQ

Which cloud is cheapest?

There is no workload-independent answer. Region, resource shape, licensing, discounts, data movement, and utilization all affect cost. Compare equivalent service levels with the same workload assumptions and include the operational work your team will perform.

Should a Microsoft-based organization automatically choose Azure?

Existing identity and contracts are strong evaluation inputs, not a substitute for testing the workload. Verify that the integration reduces work in practice and that the exact services meet application and recovery requirements.

Does Kubernetes make switching clouds easy?

It standardizes an important deployment interface, but storage, networking, load balancers, identity, and managed services still differ. Treat a migration as a tested project with data movement and rollback, not just a change to a cluster address.

Should a startup use more than one cloud?

Usually begin by evaluating one primary platform against clear requirements. Additional platforms become reasonable when a specific service, customer requirement, acquisition, or independently tested resilience design pays for the extra complexity.