Think of cloud providers like utility companies. You plug in, use what you need, and pay for what you use. Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) are the three names you hear most. Each offers virtual machines, storage, databases, and hundreds of smaller services. The basics are alike; the details — pricing, tools, and how things feel day to day — are not.
AWS has been around the longest and has the biggest menu. If you need something odd or very specific, AWS probably has it. Azure fits teams already on Microsoft — Windows servers, Active Directory, Office 365, Teams. Google Cloud shines for data work, machine learning, and companies that already live in Google Workspace or Android.
Most teams do not pick based on a feature chart alone. They look at what their people already know, what their company already pays for, and where their data needs to live. A startup with no legacy systems can choose almost freely. A hospital or bank may have rules that push them toward one vendor before anyone opens a comparison spreadsheet.
Pricing is confusing on all three. List prices look cheap; real bills grow with storage, traffic, support, and small add-ons you forgot about. Use each provider's cost calculator with honest numbers before you commit. Start small, watch the bill weekly, and set alerts before you get a surprise at month end.
You can use more than one cloud, but that adds work. Many companies pick a main cloud and only use another for one special tool. That is normal. What hurts is splitting your core app across three providers with no clear plan.
A practical way to choose: list your top five needs (host a website, run a database, send emails, store files, train an AI model). Try a free trial on each platform for the same small task. See which console makes sense to your team. The best cloud is often the one your engineers will actually use without fighting the interface every week.