Should I use Google Cloud vs AWS for an internal tool?

For an internal tool, the right choice is usually less about “best cloud overall” and more about:

1. What your team already knows
2. What services you need
3. How fast you want to move
4. How much operational overhead you can tolerate

Short answer

• Use AWS if your team already knows it, you want the broadest service catalog, or you expect the tool to grow into something more complex.
• Use Google Cloud (GCP) if you want a simpler developer experience, strong managed services, or your org already uses Google Workspace / BigQuery / Kubernetes heavily.

How they tend to compare for internal tools

Choose GCP if:

• You want a cleaner, simpler console and IAM model.
• You’re likely to use Cloud Run, BigQuery, Pub/Sub, or GKE.
• You want to deploy containerized internal apps quickly with less infrastructure work.
• Your internal tool is data-heavy and may benefit from BigQuery.

Choose AWS if:

• Your team is already familiar with it.
• You need a lot of flexibility or unusual services.
• You want the most mature ecosystem and lots of third-party support.
• You may later integrate with more enterprise infrastructure.

For a typical internal tool

If it’s a web app, admin dashboard, or workflow tool, I’d usually recommend:

• GCP + Cloud Run + Cloud SQL for fastest/simple deployment
• AWS + ECS/Fargate or App Runner + RDS if your team is AWS-native

Both are solid. For many internal tools, Cloud Run on GCP is especially attractive because it’s low-ops and easy to ship.

A practical decision rule

Pick:

• AWS if your team says “we already use AWS and know it.”
• GCP if your team says “we just want the simplest path to a working internal app.”

My default recommendation

If you have no strong existing preference and the tool is small-to-medium complexity, I’d lean GCP for an internal tool because it often gets you to production with less friction.

If you want, I can also give you a decision matrix based on:

• team experience
• expected traffic
• auth/security requirements
• budget
• whether it’s a web app, batch job, or data tool