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.
Ansi ByteCode LLP has developed an exceptional reputation within the Global IT industry. The company was launched in 2014 and since then, it has been a thriving center with our tagline “Articulate Business With Code”. We presently utilize Microsoft Technologies and proudly hold the status of a Microsoft Solution Partner for Digital & App Innovation, as well as Data & AI. We are a dynamic team comprised of dedicated professionals and continue to expand our capabilities and reach.
To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions.
Functional
Always active
The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
Preferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
Statistics
The technical storage or access that is used exclusively for statistical purposes.The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
Marketing
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.
