®Amazon Web Services (AWS) and Google Cloud are two of the largest cloud platforms, and either can host a web app, mobile backend or business system reliably. Choosing between AWS and Google Cloud is rarely about which is better overall. It is about which one fits your product, your team's skills and the services you expect to rely on in the years ahead.
What both platforms offer
At the core, the two platforms provide very similar building blocks:
- Virtual servers for running your own software.
- Managed databases that handle backups, updates and failover for you.
- File and object storage for uploads, images and backups.
- Serverless and container services that run your code without you managing servers.
- Networking, security and monitoring tools.
- Data analytics and AI services.
- Regions around the world, including in India, so you can keep data close to your users and meet local requirements.
For a typical business app, both platforms can do the job well. The differences show up in specific services, in how each platform feels to work with, and in how it fits the tools you already use.
How the main services compare
| Need | AWS | Google Cloud |
|---|---|---|
| Virtual servers | EC2 | Compute Engine |
| Run containers without managing servers | Fargate, App Runner | Cloud Run |
| Kubernetes | EKS | GKE |
| Serverless functions | Lambda | Cloud Run functions |
| Relational database | RDS, Aurora | Cloud SQL, AlloyDB |
| Object storage | S3 | Cloud Storage |
| Data warehouse | Redshift | BigQuery |
| AI models and tools | Bedrock, SageMaker | Vertex AI |
| Mobile app backend | Amplify | Firebase |
Service names change from time to time, so check current documentation before planning around a specific product.
Where AWS stands out
AWS has the widest range of services of any cloud provider, and it has been operating for the longest. Almost any need, however specialised, has a managed service or a well-documented pattern. It also has a very large community, so tutorials, third-party tools and experienced engineers are easy to find.
The breadth can also be a drawback. There are often several ways to do the same thing, and the console and pricing pages can feel overwhelming. Teams usually benefit from clear standards and someone who knows the platform well.
AWS suits products that expect to grow into many different services, companies that already have AWS experience, and enterprise clients who ask for it by name.
Where Google Cloud stands out
Google Cloud is often praised for a cleaner developer experience and for strong data and AI tools. BigQuery is widely used for analytics on large datasets, and Vertex AI gives access to Google's AI models along with others. Cloud Run makes it simple to deploy a container and scale it automatically, including down to zero when it is idle.
For mobile apps, Firebase is a major advantage. It offers authentication, a real-time database, push notifications, crash reporting and analytics, and it is part of Google Cloud. Many mobile products start on Firebase and add other Google Cloud services as they grow.
Google Cloud suits data-heavy products, apps built around Firebase, and teams that value simple container hosting.
Pricing in general terms
Both platforms charge mainly for what you use: computing time, storage, data transferred out of the cloud and requests to managed services. Each has a free tier and often offers credits for startups, though the terms change, so check the current offers directly.
A few points matter more than headline rates:
- Data transfer out of the cloud can be a noticeable cost, especially for media-heavy apps.
- Committed use and reserved plans lower costs if you can predict your usage.
- Managed services cost more per unit than raw servers but save engineering time.
- Idle resources are a common source of waste, so review your bill regularly and set budget alerts.
The right architecture usually affects your bill more than the choice of provider.
How to choose a cloud platform
Work through these questions:
- What does your team already know? Experience with one platform saves time and reduces mistakes.
- Are you building around Firebase? If your mobile app uses it, Google Cloud is the natural home.
- Is data analysis central to the product? Google Cloud's analytics tools are a strong reason to choose it.
- Do clients or partners require a specific cloud? Enterprise customers sometimes do.
- Which regions do you need? Confirm the services you plan to use are available where your users are.
- How much do you want to avoid lock-in? Containers, standard databases and infrastructure as code make it easier to move later.
If two options look equal, pick the one your team can support confidently. A well-run app on either platform beats a poorly run one on the "right" platform.
Frequently asked questions
Is AWS or Google Cloud cheaper?
Neither is cheaper in every case. Costs depend on the services you use, your traffic and how carefully resources are sized. Estimate your workload with each provider's pricing calculator and compare.
Can we use both AWS and Google Cloud?
Yes, and some companies do, for example running the main app on one and analytics on the other. For most small and mid-sized products, one platform is simpler and cheaper to manage.
What about Microsoft Azure?
Azure is another major option and is often chosen by companies that rely on Microsoft products. The same questions about team skills, services and regions apply.
If you need help planning, setting up or moving your app to the cloud, our cloud, DevOps and backend team works with both AWS and Google Cloud.