The Three Major Cloud Providers at a Glance
Service Name Equivalents
Each cloud provider offers the same core service categories but under different names. Knowing the equivalent services across providers is frequently tested on cloud certification exams and useful for multi-cloud job roles.
| Service Category | AWS | Azure | GCP |
|---|---|---|---|
| Virtual Machines (IaaS) | EC2 | Azure VMs | Compute Engine |
| Serverless Functions | Lambda | Azure Functions | Cloud Functions |
| Managed Kubernetes | EKS | AKS | GKE |
| Object Storage | S3 | Blob Storage | Cloud Storage |
| Block Storage | EBS | Managed Disks | Persistent Disk |
| Managed Relational DB | RDS | Azure SQL Database | Cloud SQL |
| NoSQL / Document DB | DynamoDB | Cosmos DB | Firestore / Bigtable |
| Data Warehouse | Redshift | Synapse Analytics | BigQuery |
| Content Delivery (CDN) | CloudFront | Azure CDN | Cloud CDN |
| DNS | Route 53 | Azure DNS | Cloud DNS |
| Identity & Access | IAM | Azure AD / Entra ID | Cloud IAM |
| Virtual Private Network | VPC | Virtual Network (VNet) | VPC |
| Container Registry | ECR | ACR | Artifact Registry |
| Monitoring / Logging | CloudWatch | Azure Monitor | Cloud Monitoring |
Where Each Provider Excels
AWS has the broadest service catalog — over 200 services — and the most global regions (30+). It has been the market leader since 2006 and has the deepest ecosystem of third-party tools, partner integrations, and community knowledge. AWS tends to be the default choice for startups and new cloud-native projects because the hiring market and talent pool are largest. AWS is the top choice when you have no existing vendor dependencies and want maximum flexibility.
Azure dominates enterprises that are already invested in Microsoft's ecosystem. If an organisation runs Active Directory on-premises, uses Office 365, has Windows Server workloads, or develops with .NET, Azure's native integrations make it the obvious choice. Azure Active Directory (now rebranded as Microsoft Entra ID) ties directly into enterprise identity management in a way AWS and GCP cannot match without significant additional configuration. Azure is also the leader in hybrid cloud deployments through Azure Arc, which extends Azure management to on-premises and other cloud environments.
GCP is strongest in data analytics, machine learning, and Kubernetes. Google invented Kubernetes (and donated it to open source), so GKE (Google Kubernetes Engine) is widely considered the most mature managed Kubernetes offering. BigQuery, Google's serverless data warehouse, is beloved by data engineers for its speed and ease of use on massive datasets. GCP's global network — the same private fiber backbone Google uses for Search and YouTube — gives it a performance advantage for latency-sensitive global applications.
Most large organisations use more than one cloud provider. They might run production workloads on AWS, use Azure for Active Directory integration and Office 365 tooling, and use GCP for BigQuery analytics. Multi-cloud reduces vendor lock-in and lets organisations use each provider's best services. This is also why cloud skills transfer — the concepts of IaaS, PaaS, VPCs, object storage, IAM, and Kubernetes are the same across providers; only the service names differ.
Cloud Certifications — Where to Start
Each major cloud provider has a tiered certification track. Entry-level foundational certs require no prerequisites and test cloud concepts broadly. Associate-level certs go deeper into architecture and implementation. Professional and specialty certs require significant hands-on experience.
For maximum job opportunities: AWS Cloud Practitioner → AWS Solutions Architect Associate.
If your employer uses Microsoft: AZ-900 → AZ-104 (Administrator) or AZ-204 (Developer).
For data/ML/Kubernetes: Google Cloud Digital Leader → Associate Cloud Engineer or Professional Data Engineer.
CompTIA also offers CompTIA Cloud+ as a vendor-neutral cloud certification that covers concepts applicable to all three providers.
Pricing Models — Pay-As-You-Go
All three cloud providers follow the same fundamental pricing model: pay only for what you use, when you use it. This replaces the traditional CapEx model of buying servers upfront with an OpEx model of monthly operational costs that scale with usage. There are no upfront commitments for on-demand pricing.
All three providers also offer reserved/committed use discounts — if you commit to using a service for 1 or 3 years, you get significant discounts (often 30–60%) compared to on-demand pricing. AWS calls these Reserved Instances; Azure calls them Reserved VM Instances or Azure Savings Plans; GCP calls them Committed Use Discounts. For predictable, steady-state workloads, committed pricing dramatically reduces cost.
Spot/Preemptible pricing is another option: all three providers offer deeply discounted compute (70–90% cheaper) for workloads that can tolerate interruption. AWS calls these Spot Instances; Azure calls them Spot VMs; GCP calls them Preemptible VMs (now Spot VMs). These are ideal for batch processing, data analysis, and fault-tolerant distributed workloads.
AWS, Azure, and GCP all offer free tiers that let you explore their services at no cost. AWS Free Tier includes 750 hours/month of t2.micro EC2, 5 GB of S3 storage, and many other services for 12 months. Azure Free Account gives $200 credit for 30 days plus 12 months of popular services free. GCP Free Tier provides $300 in credits for 90 days plus always-free limits on many services. All three are excellent ways to get hands-on experience before taking a certification exam.
Key Scenarios
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