Azure vs AWS vs GCP: Key Differences You Must Know

                        You can’t learn everything at once—but you can start with the cloud that opens the most doors.

When I began my cloud journey, I was overwhelmed by the choices. The question everyone kept asking was: Should I learn AWS, Azure, or Google Cloud first? Here’s a little secret: most Cloud Engineers don’t choose their first cloud—it chooses them. The same happened to me. Azure chose me before I even had the chance to choose it.

That’s what inspired me to write this blog: a comprehensive comparison of AWS vs Azure vs GCP. Whether you’re a beginner like I was or just exploring the world of cloud, I hope this guide gives you the clarity and confidence to choose the right path.

Overview of the Big Three Cloud Providers

Amazon Web Services (AWS)
Launched in 2006, AWS is Amazon’s cloud platform and the pioneer in cloud computing. Known for its massive range of services and global reach, it’s widely adopted by startups, enterprises, and governments alike. Major companies using the AWS cloud include 
Netflix, Coca-Cola, Expedia, and Airbnb.

Microsoft Azure
Azure started in 2010 as Microsoft’s answer to the growing cloud market. It integrates smoothly with Microsoft products and is popular with enterprises, especially those already using tools like Windows Server, Active Directory, and Office 365. 
Major companies using the Azure cloud include Starbucks, HSBC, and HP.

Google Cloud Platform (GCP)
GCP launched in 2008 and is built on the same infrastructure Google uses for Search and YouTube. It stands out for its strengths in data analytics, AI/ML, and developer-focused services. 
Major companies using the GCP cloud include Toyota, Spotify, Twitter, and PayPal.

Market Leader & Market Share

AWS – The Cloud Giant

Market Share: 29-30%
Why It Leads: Offers the most services (200+), used by startups, enterprises, and governments worldwide
Popular For: Hosting, databases, AI/ML, and nearly everything else in the cloud

Azure – The Enterprise Favorite

Market Share: 21 - 22% (growing fast!)
Why It Leads: Works perfectly with Microsoft tools like Office 365, Windows Server, and Active Directory
Trusted By: 95% of Fortune 500 companies

GCP – The Tech & AI Expert

Market Share: 11% (but growing quickly)
Why It Leads: Great for data analytics, AI, and modern app development
Trusted By: Vertex AI, Gemini, and Google Kubernetes Engine (GKE)

Global Infrastructure Comparison

When picking up a cloud provider, looking at service availability is crucially important. The number of regions with availability zones can affect application speed. They also affect meeting local data laws, especially when global or sensitive data is used.

As of July 2025, here’s how the big three cloud providers stand:

  • AWS has 37 geographic regions with 117 availability zones. They plan to add 4 more regions and 13 more availability zones in the immediate future. They serve 700+ edge locations, 13 regional edge caches, and offer Government Cloud support for U.S. and China regions.

  • Microsoft Azure runs 64 regions, with 15 under construction. They maintain 126 availability zones with 37 more being built. Microsoft maintains 192 edge locations in global cities, with 4 edge locations in the US government cloud, and offers Government Cloud support for U.S. and China regions.

  • GCP has 42 cloud regions with 6 new ones coming soon. They’ve built 127 zones and 202 edge locations and offer Government Cloud support for U.S. only (no China regions).
Billing in AWS vs Azure vs Google Cloud Platform

AWS: AWS introduced back in 2017 per-second billing, which started with EC2 Linux instances and EBS volumes. Today, it applies for most EC2 instance types (Linux-based), Fargate, EKS, with other services—while charging for EC2 a minimum of 60 seconds.

AZURE: Azure supports per-second billing for Container Instances, AKS, and a few VM types, but most VMs still follow per-minute billing.

GCP: After AWS, Google Cloud Platform (GCP) quickly adopted per-second billing, then offered it on each VM-based instance as it is uniform in applying per-second billing across compute services like Windows and Linux.

AWS vs Azure vs GCP: On-Demand Pricing (Hourly Rates)

General Purpose ( 4 vCPU, 16 GB RAM )


AWS offers the lowest cost (especially with Graviton2 ARM-based chips), while GCP is mid-range and Azure is generally the highest for this category.

Compute-Optimized ( 4 vCPU, 8 GB RAM )


AWS offers the most affordable compute‑optimized option at $0.153/hr, Azure is slightly higher at $0.169/hr. and GCP is more costly at $0.2351/hr but provides double the RAM.

This makes AWS the clear value leader, while GCP offers maximum memory for compute‑optimized workloads.

Cloud Storage Pricing Comparison


All these cloud service providers (AWS, Azure, GCP) compete closely with each other’s and set similar price ranges for storage services. However, Azure being the most cost-effective option. it's important to also look at other cost factors like data transfer or operation charges before making a final choice.

Actual statistics of the history of big 3 cloud providers: -

"AWS's pricing needs a PhD to decode, Azure runs on 'CTRL+ALT+DEL' energy, and GCP is where projects go to quietly disappear."

WhyAWS's pricing needs a PhD to decode -

AWS has 11+ Pricing Models.
Regional Price Variations: Example - m6i.xlarge costs
        $0.192/hr in US East (N. Virginia) vs $0.263/hr in South America (São Paulo) [37% more expensive]
Real-world horror story: A newly founded start-up forgot to check the 100 TB of S3 storage and left it unmonitored until a 6-month-old - $23,000 bill.
Lesson: Always enable S3 Storage Lens.

WhyAzure Runs on 'CTRL+ALT+DEL' Energy -

Portal Crashes: It has suffered 3 major outages in 2024 alone as a result of DNS/TLS.
Source: Azure Status History
Horror Story in Reality: The authentication of a Fortune 500 company through the Azure AD failed worldwide in a 14-hour span during their major selling time.
Lesson: Azure Status should always be used prior to deployments.

Why, GCP Is Where Projects Go to Quietly Disappear (Launch  Ignore → Sunset) -

The Graveyard of Google: 274+ dead products (Google+, Stadia etc.).
Source: Killed By Google
Horror Story in Reality: The job of a data scientist in the ML training course was auto-deleted after they had consumed 72 hours and achieved a progress of 89%.
Lesson: Do NOT use gcloud config set auto-delete NEVER.

My Working Experience –

I personally find Microsoft Azure the most user-friendly. The portal interface is clean, organized, and easy to navigate — which really helps, especially when you're juggling multiple services. With AWS and GCP, I often feel things are a bit more complex. AWS has a massive service catalog that can be overwhelming, and GCP, while cleaner, still takes time to get used to. For me, Azure just makes the overall experience smoother and more intuitive.

Every cloud provider has its strengths:

    •      Azure is great for Microsoft-heavy environments
    •     GCP shines in data and machine learning
    •     AWS is the most widely adopted, with the biggest community


Happy Exploring! Happy Learning!     


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