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Cloud Services Comparison

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Cloud Services Comparison

Compare AWS, Google Cloud Platform, and Microsoft Azure services

7
Services Compared

Virtual Machines

Compute

AWS - EC2

AWS

Elastic Compute Cloud - scalable virtual servers

Pricing

$0.0116/hour (t3.micro)

Pros:

  • +Mature ecosystem
  • +Wide instance variety
  • +Spot instances
  • +Auto Scaling

Cons:

  • -Complex pricing
  • -Learning curve
  • -Can be expensive

GCP - Compute Engine

GCP

High-performance virtual machines

Pricing

$0.0104/hour (e2-micro)

Pros:

  • +Sustained use discounts
  • +Live migration
  • +Custom machine types
  • +Preemptible instances

Cons:

  • -Smaller ecosystem
  • -Limited regions
  • -Less documentation

Azure - Virtual Machines

Azure

On-demand scalable computing resources

Pricing

$0.0120/hour (B1s)

Pros:

  • +Hybrid cloud integration
  • +Windows licensing
  • +Enterprise features
  • +Reserved instances

Cons:

  • -Complex interface
  • -Performance inconsistencies
  • -Limited Linux support

Serverless Functions

Compute

AWS - Lambda

AWS

Event-driven serverless compute service

Pricing

$0.20 per 1M requests

Pros:

  • +Mature ecosystem
  • +Many triggers
  • +Good tooling
  • +Extensive integrations

Cons:

  • -Cold starts
  • -15-minute limit
  • -Vendor lock-in

GCP - Cloud Functions

GCP

Serverless execution environment

Pricing

$0.40 per 1M requests

Pros:

  • +Fast cold starts
  • +Good for microservices
  • +Integrated with GCP services

Cons:

  • -Limited runtime options
  • -Fewer triggers
  • -Less mature

Azure - Functions

Azure

Event-driven serverless compute

Pricing

$0.20 per 1M requests

Pros:

  • +Good .NET support
  • +Durable functions
  • +Hybrid connectivity

Cons:

  • -Performance issues
  • -Complex pricing
  • -Limited language support

Object Storage

Storage

AWS - S3

AWS

Simple Storage Service - object storage

Pricing

$0.023/GB/month

Pros:

  • +Industry standard
  • +Multiple storage classes
  • +Excellent durability
  • +Rich ecosystem

Cons:

  • -Complex pricing tiers
  • -Data transfer costs
  • -Learning curve

GCP - Cloud Storage

GCP

Unified object storage service

Pricing

$0.020/GB/month

Pros:

  • +Simple pricing
  • +Global edge caching
  • +Strong consistency
  • +Good performance

Cons:

  • -Fewer features than S3
  • -Limited ecosystem
  • -Less documentation

Azure - Blob Storage

Azure

Massively scalable object storage

Pricing

$0.0184/GB/month

Pros:

  • +Good Windows integration
  • +Hot/Cool/Archive tiers
  • +Strong security

Cons:

  • -Complex interface
  • -Performance variations
  • -Limited global presence

Relational Database

Database

AWS - RDS

AWS

Managed relational database service

Pricing

$0.017/hour (db.t3.micro)

Pros:

  • +Multiple engines
  • +Automated backups
  • +Read replicas
  • +Multi-AZ deployment

Cons:

  • -Expensive for large instances
  • -Limited customization
  • -Vendor lock-in

GCP - Cloud SQL

GCP

Fully managed relational databases

Pricing

$0.0150/hour (db-f1-micro)

Pros:

  • +Automatic scaling
  • +High availability
  • +Good performance
  • +Integrated monitoring

Cons:

  • -Limited engine options
  • -Fewer features
  • -Regional limitations

Azure - SQL Database

Azure

Managed SQL database service

Pricing

$0.0202/hour (Basic)

Pros:

  • +Excellent SQL Server integration
  • +Elastic pools
  • +Advanced security
  • +Hybrid scenarios

Cons:

  • -Expensive
  • -Complex pricing
  • -Performance tiers confusion

NoSQL Database

Database

AWS - DynamoDB

AWS

Fast NoSQL database service

Pricing

$0.25/GB/month

Pros:

  • +Single-digit millisecond latency
  • +Serverless
  • +Auto-scaling
  • +Global tables

Cons:

  • -Query limitations
  • -Expensive for large datasets
  • -Learning curve

GCP - Firestore

GCP

NoSQL document database

Pricing

$0.18/GB/month

Pros:

  • +Real-time updates
  • +Offline support
  • +Strong consistency
  • +Mobile SDKs

Cons:

  • -Limited querying
  • -Expensive operations
  • -Newer service

Azure - Cosmos DB

Azure

Globally distributed NoSQL database

Pricing

$0.25/GB/month

Pros:

  • +Multi-model support
  • +Global distribution
  • +Multiple consistency levels
  • +SLA guarantees

Cons:

  • -Very expensive
  • -Complex pricing
  • -Steep learning curve

Content Delivery Network

Networking

AWS - CloudFront

AWS

Global content delivery network

Pricing

$0.085/GB (first 10TB)

Pros:

  • +Global edge locations
  • +AWS integration
  • +Lambda@Edge
  • +Security features

Cons:

  • -Complex configuration
  • -Expensive for high traffic
  • -Cache invalidation costs

GCP - Cloud CDN

GCP

Global content delivery network

Pricing

$0.08/GB (first 10TB)

Pros:

  • +Simple setup
  • +Good performance
  • +Integrated with GCP
  • +HTTP/2 support

Cons:

  • -Fewer edge locations
  • -Limited features
  • -Less mature

Azure - CDN

Azure

Global content delivery network

Pricing

$0.087/GB (first 10TB)

Pros:

  • +Multiple providers
  • +Good Windows integration
  • +Custom domains
  • +Rules engine

Cons:

  • -Complex pricing
  • -Performance variations
  • -Limited global reach

Identity Management

Security

AWS - IAM

AWS

Identity and Access Management

Pricing

Free

Pros:

  • +Fine-grained permissions
  • +Role-based access
  • +MFA support
  • +Cross-account access

Cons:

  • -Complex policy language
  • -Steep learning curve
  • -Easy to misconfigure

GCP - Cloud IAM

GCP

Identity and Access Management

Pricing

Free

Pros:

  • +Simple role model
  • +Hierarchical organization
  • +Good integration
  • +Audit logging

Cons:

  • -Less granular than AWS
  • -Fewer features
  • -Limited third-party integration

Azure - Active Directory

Azure

Identity and access management service

Pricing

$1/user/month (Basic)

Pros:

  • +Enterprise integration
  • +Hybrid identity
  • +Conditional access
  • +B2B/B2C support

Cons:

  • -Complex licensing
  • -Expensive
  • -Windows-centric

Cloud Provider Summary

AWS
Market leader with the most comprehensive service portfolio. Best for enterprises needing mature, feature-rich solutions.
GCP
Strong in data analytics and machine learning. Best for startups and data-driven applications.
Azure
Excellent for Microsoft-centric organizations. Best for hybrid cloud and enterprise integration.