AWS vs. GCP: A Filipino SME's Guide

I get this question at least twice a week: "Wawi, dapat AWS or GCP?" And my honest answer, every time, is: it depends.

That's not a dodge. Both are excellent, enterprise-grade cloud platforms. But they have genuinely different strengths, and the right choice for your business depends on what you're building, your team's skills, your budget model, and your growth plans.

We're an AWS Advanced Tier Services Partner and a GCP Partner — so I don't have a financial incentive to push you toward one or the other. What I do have is years of running production workloads on both. Here's my honest take.

The short version

Where AWS wins

Breadth of services

AWS has over 200 services. GCP has around 100. That breadth matters in practice — almost anything you want to do has a managed AWS service for it, which means less custom code and faster time-to-production.

Ecosystem maturity

AWS has been around since 2006. The ecosystem of third-party tools, community documentation, Stack Overflow answers, and available talent is enormous. If you search for a specific AWS problem, you'll find an answer. If you hire a cloud engineer in the Philippines, there's a much larger pool of AWS-certified candidates than GCP-certified ones.

Compliance and certifications

For industries with strict regulatory requirements — banking, healthcare, government — AWS has the deeper compliance portfolio in the Philippine context. More compliance certifications, more local reference architectures for regulated industries.

Philippine support presence

AWS has a more established local presence in the Philippines. If you need direct AWS support, partner resources, or local training, the AWS ecosystem is more developed here.

Where GCP wins

Data and analytics

BigQuery is one of the best data warehousing tools ever built. If your business runs on data — large-scale analytics, data pipelines, business intelligence — GCP's data stack (BigQuery, Dataflow, Looker) is genuinely superior to the equivalent AWS setup in terms of performance and developer experience.

Kubernetes

Google invented Kubernetes. GKE (Google Kubernetes Engine) is the best-managed Kubernetes service available. If you're running containerized workloads at scale, GKE is ahead of Amazon EKS in ease of use and operational quality.

AI and machine learning tooling

Vertex AI has become a serious platform. For teams building custom ML models, running foundation model fine-tuning, or doing large-scale AI experimentation, GCP's tooling is competitive — and Google's underlying AI research often shows up in GCP features first.

Pricing on compute

GCP is often cheaper on raw compute and networking, especially for sustained workloads. Sustained use discounts apply automatically — no need to commit upfront the way Reserved Instances on AWS work.

What about pricing overall?

Both clouds are roughly comparable in total cost for most workloads, but the specifics vary a lot by what you're running. Compute, storage, networking, and data transfer all have different pricing structures on each platform.

One thing I tell clients: don't choose a cloud based on list pricing. The actual cost depends on your architecture choices, your pricing model (on-demand vs. committed use), and how efficiently you manage your resources. A poorly managed cloud on either platform costs more than a well-managed cloud on the other.

The most expensive cloud is the one you chose based on a comparison table — and then never optimized.

Can you use both?

Yes, and some organizations do — this is called a multi-cloud strategy. You might run your core application on AWS but use BigQuery on GCP for your data warehouse. That's a legitimate architecture.

But I'd caution against starting there. Multi-cloud adds operational complexity: you need engineers who know both platforms, your monitoring and security posture spans two environments, and costs are harder to track. For most Philippine SMBs, pick one cloud, get good at it, and go multi-cloud only when a specific workload genuinely needs it.

My honest recommendation for most Philippine SMBs

• Standard web application or e-commerce platform → AWS
• Data analytics platform or BI-heavy business → GCP
• AI/ML as a core product → GCP (with specific AWS services as needed)
• Heavily regulated industry (banking, insurance) → AWS
• Kubernetes-native application → GCP
• "We just need to get our servers off premise" → AWS (easier to find local support)

And whatever you choose — make sure the people setting it up actually know that platform deeply. A mediocre AWS setup and a mediocre GCP setup cost about the same. A well-architected setup on either platform is what actually delivers the value.

If you want to talk through your specific situation, I'm happy to give you a direct recommendation. Not a vendor pitch — an honest assessment of what fits.