AWS vs Azure vs GCP

The CTO who picked a cloud like picking a restaurant

A startup called DataPulse chose Google Cloud Platform in 2021. Why? Because the CTO loved Google. He used Gmail, Google Docs, Android — so naturally GCP was the right choice for their B2B analytics product. The engineering team built everything on BigQuery, Cloud Run, and Firestore. Life was good.

Then DataPulse landed its first enterprise deal. The client — a Fortune 500 bank — ran everything on Microsoft Azure. Active Directory for identity. Azure DevOps for CI/CD. Teams for communication. They wanted DataPulse to integrate directly into their Azure environment.

DataPulse spent six months and $400,000 migrating core services to Azure. Six months of rewriting infrastructure instead of building features. Six months where competitors were shipping while they were migrating.

The lesson? Choose your cloud based on where your customers and jobs are — not which logo you like best.

The big three: who they are and how big they are

Three companies control roughly two-thirds of the global cloud infrastructure market:

AWS launched in 2006 — years before anyone else. That head start matters. Most cloud-native startups, most online tutorials, and most open-source tooling defaulted to AWS first. It is the cloud that built the cloud industry.

Microsoft Azure launched in 2010 and grew by doing what Microsoft has always done best: selling to enterprises. If your company already pays for Office 365, Active Directory, and Teams, Azure slots right in. No new vendor approval needed. No new security review. The IT department already trusts Microsoft.

Google Cloud Platform launched in 2008 but did not get serious about enterprise sales until the mid-2010s. Google built the infrastructure that runs YouTube, Gmail, and Search — then turned around and said "you can use it too." Their edge: AI/ML tools and data analytics that inherit decades of Google-scale engineering.

There Are No Dumb Questions

"If AWS has the most market share, why would anyone pick Azure or GCP?"

Market share tells you who is the biggest, not who is the best for your situation. A hospital running Microsoft infrastructure will have an easier time with Azure. A machine learning startup will get better tooling from GCP. A company that needs the widest selection of services will prefer AWS. The best cloud is the one that fits your existing stack, your team, and your customers.

"Are there other cloud providers besides these three?"

Yes. Alibaba Cloud dominates in China. Oracle Cloud is growing fast in enterprise databases. IBM Cloud targets regulated industries. DigitalOcean and Linode serve developers who want simplicity. But AWS, Azure, and GCP collectively hold about 67% of the global market, so most cloud conversations start with these three.

Head-to-head comparison

Here is how the big three stack up across the categories that matter most:

AWS: the everything store of cloud

Amazon Web Services is the cloud equivalent of Amazon.com itself — it has everything. Over 200 services. If you can think of it, AWS probably has a managed service for it.

The downsides:

• Pricing complexity — AWS pricing pages read like tax code. EC2 alone has On-Demand, Reserved, Spot, Savings Plans, and Dedicated Host pricing. Companies regularly hire entire teams just to manage their AWS bill.
• Learning curve — 200+ services means decision paralysis. New users often struggle to figure out which of the five database options they actually need.
• Console UX — The AWS Management Console is functional but dense. Finding what you need can feel like navigating a warehouse without signs.

Azure: the enterprise whisperer

Azure wins deals not because it is technically superior to AWS, but because enterprises already live inside the Microsoft ecosystem.

The downsides:

• Documentation quality — Microsoft documentation can be inconsistent. Some services have excellent docs, others have pages that were clearly written by a committee of committees.
• Console complexity — The Azure Portal has improved significantly, but navigating it still requires patience. Service names change frequently (Azure AD became Entra ID, Azure DevOps has been rebranded multiple times).
• Naming conventions — Azure service names are not intuitive. "Azure Blob Storage" is clear enough, but "Azure Service Fabric" or "Azure Durable Functions" require a docs visit to understand.

GCP: the engineer's cloud

Google Cloud is what happens when the company that built the internet's infrastructure lets you use it.

The downsides:

• Smallest market share — At 11%, GCP has fewer customers, fewer community resources, and fewer third-party integrations. When something goes wrong at 2 a.m., there are fewer StackOverflow answers to save you.
• Fewer services — Around 150 services compared to 200+ for AWS and Azure. For most workloads this does not matter, but if you need a niche managed service, AWS is more likely to have it.
• Enterprise sales gap — Google has historically been weaker at enterprise sales compared to Microsoft and Amazon. They are investing heavily to close this gap but it remains a real difference.

Certification showdown: where to start

If you are getting your first cloud certification, these three entry-level exams are your options:

There Are No Dumb Questions

"Should I get all three foundational certifications?"

No. Get one, go deep, build projects, then consider a second cloud later. Three foundational certs signal breadth without depth — and employers want depth. One foundational cert plus one associate-level cert on the same cloud is far more valuable.

"Which certification has the best return on investment?"

AWS Cloud Practitioner, purely by job market numbers. More job postings mention AWS than Azure or GCP. But if your employer uses Azure, the AZ-900 will be immediately useful to you — and that matters more than abstract job market statistics.

How to choose: a practical framework

Forget the feature comparisons for a moment. Here is how people actually make this decision in real life:

1. Follow the jobs

Open LinkedIn, Indeed, or your preferred job board. Search for cloud roles in your city or your target role. Count how many mention AWS, Azure, and GCP. In most markets, AWS leads. In enterprise-heavy markets (government, healthcare, finance), Azure often dominates. In AI/ML and data engineering, GCP punches above its weight.

2. Follow your employer

If your company uses Azure, learn Azure. You will get immediate hands-on practice, your manager will notice, and your new skills will be directly applicable. Learning AWS on the side while your company runs Azure is like studying French when you live in Japan — admirable but not immediately useful.

3. Follow your stack

The multi-cloud reality

Here is a number that surprises most beginners:

Most large companies do not pick one cloud. They use AWS for some workloads, Azure for others, and maybe GCP for data analytics. This happens for practical reasons:

• Acquisitions — You buy a company that uses a different cloud. Now you have two.
• Best-of-breed — BigQuery for analytics, Azure for Active Directory, AWS for everything else.
• Vendor negotiation — Using multiple clouds gives you leverage when negotiating pricing.
• Redundancy — If AWS has an outage, critical systems can fail over to Azure.

But here is the catch: multi-cloud is an enterprise strategy, not a learning strategy. As an individual, learning one cloud deeply beats knowing three clouds shallowly. Employers want someone who can architect a production system on AWS — not someone who completed the free tier tutorial on all three.

Back to DataPulse

DataPulse made a common mistake: they chose a cloud based on personal preference instead of business reality. Their customers were on Azure, their integration requirements pointed to Azure, but they went with GCP because the CTO liked Google. Six months and $400,000 later, they learned what this module teaches in 20 minutes — the best cloud is not the one with the coolest technology. It is the one where your customers, your employer, and your career opportunities already live. Pick that one, learn it deeply, build real things on it, get certified, and the rest will follow.

Key takeaways

• AWS leads in market share (~31%), breadth of services, and community size. It is the safest default choice for the broadest career options.
• Azure dominates enterprise IT thanks to Microsoft integration (Active Directory, Office 365, Teams). If your company is a Microsoft shop, Azure is the obvious choice.
• GCP excels at AI/ML and data analytics (BigQuery, Vertex AI, Kubernetes). If your career is in machine learning or data engineering, GCP has the best tools.
• Choose based on your reality — your employer, your target job market, and your existing tech stack. Not hype, not personal preference.
• One deep beats three shallow. Learn one cloud well enough to build production systems before exploring a second. About 80% of cloud knowledge transfers between providers.
• Certification is a starting point, not a destination. Pair it with a real project to demonstrate hands-on skill.
• 92% of enterprises use multiple clouds — but as an individual learner, go deep on one first.