A comparative Study of AWS, Azure and Google Cloud.

1. C
COMPARATIVE STUDY OF AWS,
AZURE & GOOGLE CLOUD
By
Sanket Wankhede – SYMCA55
Samrendra Singh – SYMCA49
Aniket Raul – SYMCA42
Sairaj Koyande – SYMCA25

2. Introduction to Cloud Computing
• Definition: Cloud computing refers to the delivery of on-demand computing
services over the internet. This includes storage, processing power, and software,
enabling users to access and use resources without direct active management.
• Importance:
• Scalability: Easily scale resources up or down based on demand.
• Cost Efficiency: Pay-as-you-go pricing models reduce upfront costs.
• Flexibility: Access resources from anywhere with an internet connection.
• Disaster Recovery: Improved data backup and recovery options.

3. • Types of Cloud Services (IaaS, PaaS, SaaS)
• Infrastructure as a Service (IaaS):
• Provides virtualized computing resources over the internet.
• Examples: Amazon EC2, Microsoft Azure Virtual Machines, Google Compute Engine.
• Platform as a Service (PaaS):
• Offers hardware and software tools over the internet, primarily for app development.
• Examples: AWS Elastic Beanstalk, Azure App Services, Google App Engine.
• Software as a Service (SaaS):
• Software distribution model where applications are hosted in the cloud and accessible via the
internet.
• Examples: Google Workspace, Microsoft 365, Salesforce.
• Market Overview of Cloud Providers
• Growth Trends: Cloud adoption is accelerating across industries.
• Key Players:
• AWS: Pioneered cloud services and retains the largest market share.
• Microsoft Azure: Strong integration with Microsoft products; growth driven by enterprises.
• Google Cloud: Focus on data analytics, machine learning, and collaboration tools.
• Multi-Cloud Strategies: Organizations are increasingly using services from multiple providers to avoid
vendor lock-in and enhance flexibility.

4. Overview of AWS, Azure, and Google
Cloud
• Brief History:
•AWS: Launched in 2006, the first major cloud provider, pioneering the cloud market.
•Azure: Introduced by Microsoft in 2010, strong enterprise integration.
•Google Cloud: Launched in 2011, well-known for its advanced analytics and AI capabilities.
• Market Share:
•AWS: ~32% market share.
•Azure: ~23% market share.
•Google Cloud: ~10% market share.
• Core Services:
•AWS: Compute (EC2), Storage (S3), Database (RDS), AI/ML (Sage Maker).
•Azure: Compute (VMs), Storage (Blob Storage), Database (SQL Database), AI (Azure AI).
•Google Cloud: Compute (Compute Engine), Storage (Cloud Storage), Database (Cloud SQL), AI (Vertex
AI).

5. Global Infrastructure
• Data Centers and Regions
• AWS:
• Operates in 25+ regions with 80+ Availability Zones.
• Focus on redundancy and high availability.
• Azure:
• 60+ regions globally, expanding rapidly to support diverse markets.
• Regions strategically placed to comply with local regulations.
• Google Cloud:
• 35+ regions, with plans for expansion to enhance global reach.
• Invests in sustainability and energy-efficient data centers.
• Availability Zones
• AWS:
• Each region consists of multiple Availability Zones, which are isolated from each other to prevent outages from affecting the entire
region.
• Designed for fault tolerance and failover.
• Azure:
• Azure provides availability zones within regions, enhancing resilience.
• Offers service-level agreements (SLAs) for high availability.
• Google Cloud:
• Each region has multiple zones for resilience and data replication.
• Designed to enhance availability and reduce latency.

6. • Edge Locations
• AWS:
• Over 300 edge locations for Amazon CloudFront (CDN).
• Reduces latency for content delivery and enhances user experience.
• Azure:
• Global Content Delivery Network (CDN) with numerous edge nodes.
• Ensures fast content delivery and improves performance for users worldwide.
• Google Cloud:
• 130+ edge points of presence to ensure low latency and reliable content
delivery.
• Integrates with Google’s global backbone network for efficiency.

7. Services Comparison
• Compute Services:
• AWS EC2: Customizable VMs, largest range of instance types.
• Azure VMs: Seamless integration with Microsoft services, flexible pricing.
• Google Compute Engine: Known for fast boot times and strong performance.
• Storage Services:
• AWS S3: Industry-leading durability (99.999999999%), various storage classes.
• Azure Blob Storage: Optimized for big data workloads, integrates with Azure analytics.
• Google Cloud Storage: Unified object storage across multi-cloud environments.
• Networking Services:
• AWS VPC: Allows control over a virtual network environment.
• Azure Virtual Network: Integrated with other Azure services like Azure Security Center.
• Google VPC: Global VPC network, spanning multiple regions seamlessly.

8. • Databases:
• AWS RDS: Supports multiple database engines (MySQL, PostgreSQL, Oracle).
• Azure SQL Database: PaaS-based SQL solution, integrates with Azure
services.
• Google Cloud SQL: Managed SQL databases (MySQL, PostgreSQL, SQL
Server).
• AI/ML Services:
• AWS SageMaker: Full stack ML platform for building, training, and deploying
models.
• Azure AI: Comprehensive AI suite with cognitive services, ML Studio.
• Google Cloud AI: Leading AI/ML solutions with tools like Vertex AI and
AutoML.

9. Pricing Models
•Free Tier Offerings:
•AWS: Free for 12 months, with limited services like EC2, S3.
•Azure: Free for 12 months, including VMs, Blob Storage, and popular services.
•Google Cloud: Free tier offers $300 in credits for 90 days, always free options like Cloud
Functions.
•Pay-as-you-go Models:
•All three offer on-demand pricing, where users pay for only what they use, with discounts for long-
term commitments.
•Cost Management Tools:
•AWS: AWS Cost Explorer, AWS Budgets.
•Azure: Azure Cost Management.
•Google Cloud: Google Cloud Pricing Calculator.

10. Security and Compliance
•Shared Responsibility Model:
•Cloud provider secures the infrastructure, while customers secure their data, identity,
and applications.
•Security Features:
•AWS: IAM, KMS, Shield (DDoS protection), GuardDuty.
•Azure: Active Directory (AD), Key Vault, Azure Security Center.
•Google Cloud: Identity and Access Management (IAM), Cloud KMS, Security Command
Center.
•Compliance Certifications:
•All three providers have certifications such as ISO 27001, HIPAA, GDPR, SOC 1/2/3.

11. DevOps and Developer Tools
• DevOps is a set of practices that combines software development (Dev) and IT operations
(Ops), aiming to shorten the development life cycle and deliver high-quality software.
• AWS DevOps Tools:
• AWS CodePipeline: A continuous integration and continuous delivery (CI/CD) service for automating the
build, test, and release phases of applications. It helps developers to release updates quickly and reliably.
• AWS CodeDeploy: This tool automates the deployment of applications to various computing
services like EC2, Lambda, and on-premises servers, ensuring fast and safe application
updates.
• Azure DevOps Services:
• Azure DevOps: A suite of development tools that supports the entire software development life cycle. It
includes Azure Boards (for project management), Azure Repos (for source code management), Azure
Pipelines (for CI/CD), and Azure Test Plans (for testing).

12. • Google Cloud Build & Deployment Tools:
• Google Cloud Build: This service enables developers to build, test, and
deploy applications on Google Cloud. It supports a variety of programming
languages and allows for customization through build configurations.
• Google Kubernetes Engine (GKE): Facilitates the deployment and
management of containerized applications, allowing for scalable and
efficient application development.

13. Hybrid and Multi-Cloud Capabilities
• Integration with On-Premise Systems
• All three cloud providers offer solutions to
connect on-premise infrastructure with cloud
resources, allowing businesses to maintain
critical legacy applications while leveraging
cloud scalability.
• AWS Direct Connect: Establishes a dedicated
network connection from your premises to AWS,
enabling lower latency and increased
bandwidth.
• Azure ExpressRoute: Provides private
connections to Azure from on-premises
networks, bypassing the public internet for
enhanced security and reliability.
• Google Cloud Interconnect: Offers direct
physical connections to Google Cloud,
providing high throughput and low latency.
• Multi-Cloud Management Tools
• All three providers offer tools to manage
resources across different cloud environments:
• AWS Management Console: Centralized
dashboard to manage resources in AWS and
other environments.
• Azure Arc: Extends Azure management and
services to any infrastructure, including on-
premise and other clouds, allowing for consistent
governance and security.
• Google Anthos: A platform for managing
applications across hybrid and multi-cloud
environments, enabling consistent development
and operations.

14. Use Cases and Industry Adoption
• AWS:
• Widely used for web hosting, data storage, and disaster recovery solutions, enabling businesses to
scale rapidly.
• Supports complex machine learning and analytics applications with services like SageMaker and
Redshift.
• Azure:
• Ideal for hybrid cloud solutions and seamless integration with Microsoft products, enhancing
enterprise productivity.
• Popular for building and deploying applications using Azure DevOps and Kubernetes.
• Google Cloud:
• Excels in big data processing and analytics, leveraging tools like BigQuery for fast insights.
• Known for its AI and machine learning capabilities, particularly with TensorFlow and AutoML services.

15. Case Studies:
• AWS:
• Netflix: Utilizes AWS to deliver content globally, allowing for scalability and high availability
during peak viewing times.
• Azure:
• Microsoft: Employs Azure to support its own cloud services, demonstrating reliability and
integration across its product suite.
• Google Cloud:
• Spotify: Leverages Google Cloud for data analytics and machine learning, optimizing user
recommendations and streaming performance.

16. Support and Documentation:
• All three of the major cloud providers, AWS, Azure, and Google Cloud (GCP), offer high-quality documentation:
• AWS
• Some say that AWS has slightly better documentation than Azure and GCP. AWS also offers Amazon S3, a storage option with extensive
documentation and community support.
• Azure
• Azure offers integrated solutions that may be appealing to those already invested in Microsoft's ecosystem.
• GCP
• GCP offers a variety of documentation, including resources on Google Cloud and Google Workspace.
• When choosing between AWS, Azure, and GCP, you can consider things like:
• Strengths
• AWS is known for its global reach and scalability, Azure is known for its integration and security, and GCP is known for its data
management and machine learning.
• Needs
• The right provider depends on your specific needs, such as performance and cost.
• Services
• Each provider offers different services, such as compute, storage, and databases.

17. Future Trends and Innovations
•AI and ML Developments:
•AWS: Continued advancements in SageMaker and deep learning tools.
•Azure: Focus on AI integration with Microsoft services (Copilot).
•Google Cloud: Innovations in AI/ML with Vertex AI and AI-first architecture.
•Edge Computing and IoT:
•AWS: Greengrass and IoT Core.
•Azure: Azure IoT Hub, Azure Stack Edge.
•Google Cloud: IoT Core and Edge TPU.
•Sustainability Initiatives:
•All providers are committed to carbon-neutral or carbon-negative goals by 2030 or earlier, with
investments in renewable energy.

18. Thank You