Cloud Providers

AWS vs Google Cloud: Which Should You Choose?

AWS and Google Cloud Platform (GCP) both offer mature, capable infrastructure. GCP has particular strengths in data analytics and machine learning, while AWS offers a broader general-purpose service catalog and larger market presence.

AWS

Best for: General-purpose infrastructure needs, teams wanting the largest talent pool and community resources, or broad service breadth across many categories.

Largest market share, meaning more hiring candidates with AWS experience
Broadest general-purpose service catalog
More extensive third-party tooling and integrations
Data analytics and ML tooling, while capable, is generally considered less refined than GCP’s in some specific use cases
Console complexity can be a genuine learning curve

Google Cloud

Best for: Data-heavy applications, machine learning workloads, or teams that value GCP’s specific strengths in BigQuery and its ML/AI tooling.

Strong reputation for data analytics (BigQuery) and machine learning tooling
Often cited as having a cleaner, more developer-friendly console experience
Competitive networking performance, given Google’s global infrastructure
Smaller market share means a smaller pool of GCP-specialized talent
Fewer third-party integrations built specifically around GCP compared to AWS

Cost Considerations

Pricing is broadly comparable across core compute and storage services between AWS and GCP, though specific workloads can favor one or the other depending on usage patterns. GCP has historically had a reputation for sustained-use discounts that apply automatically, whereas AWS savings typically require more active management (Reserved Instances, Savings Plans) to capture. Neither is a reliably cheaper default without pricing your specific workload.

Performance & Security

Both platforms offer strong security postures and relevant compliance certifications. For data-intensive and ML workloads specifically, GCP’s tooling (BigQuery, Vertex AI) is often considered more mature and easier to use than AWS’s equivalents, though AWS has invested heavily in closing this gap in recent years.

Which Should You Choose?

Startups / early-stage

AWS is the more common default for general-purpose applications; GCP is worth serious consideration if your product is data or ML-centric.

Data/ML-focused products

GCP’s BigQuery and ML tooling are genuinely strong reasons to consider it over AWS for these specific use cases.

Agencies

AWS’s larger talent pool and ecosystem generally make it the safer default for varied client work, unless a specific client need points toward GCP.

Our Take

We specialize in AWS and that’s what we recommend for the general-purpose infrastructure work most of our clients need. If your product is heavily data or ML-focused, it’s worth evaluating GCP’s specific tooling in that area — we’ll say so rather than claim AWS is the right fit for every use case.

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