Oracle_AWS_Azure_GCP_Comparison_ModernTech.pptx

aws oracle cloud camparision

1. Cloud Platform Comparison Oracle Cloud (OCI) vs AWS vs Azure vs Google Cloud (GCP) A high-level overview and key differences

2. Introduction to Cloud Computing Cloud computing delivers computing services over the internet — servers, storage, databases, networking, and more. It enables scalability, flexibility, and cost efficiency. The top four cloud providers dominate the global market: AWS, Azure, GCP, and Oracle Cloud.

3. Oracle Cloud Infrastructure (OCI) Strong in enterprise workloads, especially databases and ERP. High performance with low-cost networking options. Integrated with Oracle Autonomous Database and Exadata. Ideal for existing Oracle customers and regulated industries.

4. Amazon Web Services (AWS) Largest cloud provider with broadest service portfolio (200+ services). Strong in scalability, reliability, and developer ecosystem. Offers services across compute, AI/ML, IoT, and security. Pay-as-you-go pricing with global data center coverage.

5. Microsoft Azure Deep integration with Microsoft products (Windows, Office, Active Directory). Hybrid cloud leadership with Azure Arc and Stack. Excellent enterprise adoption and compliance certifications. Strong AI, analytics, and DevOps capabilities.

6. Google Cloud Platform (GCP) Leader in data analytics, AI, and machine learning tools (BigQuery, Vertex AI). Efficient pricing with sustained-use discounts. Strong open-source and Kubernetes ecosystem (creator of Kubernetes). Preferred by startups and data-driven enterprises.

7. Core Services Comparison Compute: AWS EC2, Azure VMs, GCP Compute Engine, OCI Compute. Storage: S3, Azure Blob, GCP Cloud Storage, OCI Object Storage. Networking: VPC, Virtual Network, VPC Network, OCI VCN. Each offers scalability, automation, and cross-region redundancy.

8. Database & AI/ML Services Oracle: Autonomous Database, MySQL HeatWave, AI Vector Search. AWS: RDS, Redshift, SageMaker for ML. Azure: SQL Database, Synapse Analytics, Azure ML. GCP: BigQuery, Cloud SQL, Vertex AI.

9. Pricing Model Comparison AWS – Pay-as-you-go, Reserved Instances, Savings Plans. Azure – Flexible pricing, hybrid benefits for Windows licenses. GCP – Sustained-use and committed-use discounts. Oracle – Simple pricing, lower data egress cost.

10. Performance & Scalability All four offer global scalability and high availability. AWS and Azure have the largest number of regions. Oracle Cloud offers predictable high-performance networking (RDMA). GCP focuses on optimized compute for AI/ML workloads.

11. Security & Compliance All comply with ISO, GDPR, HIPAA, SOC, etc. AWS: IAM and advanced security automation. Azure: Microsoft Defender and Sentinel integration. Oracle: Autonomous security and dedicated regions. GCP: Zero Trust model and encryption by default.

12. Market Share and Use Cases AWS: 31% market share – best for startups and global enterprises. Azure: 25% – best for hybrid and Microsoft environments. GCP: 11% – preferred for AI, data analytics, and open-source workloads. Oracle Cloud: 3% – strong in enterprise database and ERP customers.

13. Conclusion & Summary Each platform has strengths depending on workload type and business needs. AWS: Breadth of services | Azure: Enterprise & Hybrid | GCP: AI & Data | OCI: Database Performance. Choose based on cost, compliance, and ecosystem fit.