Azure vs. AWS vs. Google Cloud: A Comprehensive Comparison

Ansi ByteCode LLP > Blog > AWS > Azure vs. AWS vs. Google Cloud: A Comprehensive Comparison
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Category: AWS, Azure, Cloud

Cloud computing is the backbone of modern businesses, offering scalable and secure infrastructure. However, choosing between Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP) can be challenging.

This guide compares the top 10 services across these platforms, evaluating their pros, cons, pricing, security, high availability, disaster recovery, customer support, and partnership programs.

Lets have a comparative study of Azure vs. AWS vs. Google Cloud

1. Compute Services

Service AWS – EC2 Azure – Virtual Machines GCP – Compute Engine
Pros Scalable, reliable, broad OS support Windows-optimized, hybrid-friendly Fast boot times, per-second billing
Cons Complex pricing, additional networking costs Higher costs for Linux instances Limited enterprise adoption
Pricing $0.0058/hour (t4g.nano) $0.008/hour (B1s VM) $0.0029/hour (e2-micro)

2. Storage Services

Service AWS – S3 Azure – Blob Storage GCP – Cloud Storage
Pros High durability, lifecycle policies Strong security, easy integration with Microsoft services Multi-region storage, AI-powered insights
Cons Data retrieval fees Slightly higher latency Fewer third-party integrations
Pricing $0.023/GB $0.0184/GB $0.02/GB

3. Networking Services

Service AWS – VPC Azure – Virtual Network GCP – VPC
Pros Highly customizable, strong security Integrated with on-prem solutions Global load balancing, easy setup
Cons Complicated setup Can be expensive Limited third-party support
Pricing Free + bandwidth fees Free + outbound data costs Free + network egress fees

4. Database Services

Service AWS – RDS Azure – SQL Database GCP – Cloud SQL
Pros Automated backups, multiple engines AI-powered optimization Scalability, high availability
Cons Expensive licensing for SQL Server Performance tuning required Limited multi-region support
Pricing Starts at $0.017/hour Starts at $0.00025/hour Starts at $0.0104/hour

5. Identity & Access Management

Service AWS – IAM Azure – Active Directory GCP – IAM
Pros Fine-grained permissions Strong Microsoft integration Simple role-based access
Cons Complexity for large teams Limited third-party support Fewer predefined roles
Pricing Free Free + premium tiers Free

6. Analytics Services

Service AWS – Redshift Azure – Synapse Analytics GCP – BigQuery
Pros Scalable data warehousing Unified analytics platform Serverless architecture
Cons Requires cluster management Complex hybrid setup Pricing complexity
Pricing $0.25/hour (dc2.large nodes) Pay-as-you-go $5/TB processed

7. AI & Machine Learning

Service AWS – SageMaker Azure – Machine Learning GCP – AI Platform
Pros Support for major ML frameworks Integration with Microsoft tools Serverless deployment
Cons Complex pricing Limited non-Microsoft support Less mature features
Pricing Based on instance usage Pay-as-you-go Training & prediction usage-based

8. Content Delivery Network (CDN)

Service AWS – CloudFront Azure – CDN GCP – Cloud CDN
Pros Global reach, integration with AWS Multiple CDN options Fast, modern protocol support
Cons Complex pricing Requires separate setup Cache invalidation costs
Pricing $0.085/GB Varies $0.08/GB

9. Management & Monitoring

Service AWS – CloudWatch Azure – Monitor GCP – Operations Suite
Pros Comprehensive logging Unified monitoring Multi-cloud support
Cons Extra costs for custom metrics Complex setup Fewer features than competitors
Pricing $0.30/custom metric $2.30/GB data ingestion $0.258/GiB logs

10. Security Services

Service AWS – Security Hub Azure – Security Center GCP – Security Command Center
Pros Centralized security monitoring Unified security solution Advanced threat detection
Cons Additional costs Requires premium tiers Limited regional support
Pricing $0.0010/compliance check $15/resource/month Subscription-based

Final Thoughts: Which Cloud is Right for You?

  • Choose AWS if you need broad service offerings, deep customization, and a mature ecosystem.
  • Choose Azure if you’re already using Microsoft products and need seamless integration.
  • Choose GCP for AI-driven analytics, modern networking, and cost-effective computing.

Each cloud provider excels in different areas, so your choice depends on your business needs, budget, and existing infrastructure.

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